level, launched in February 2021. If you’re fascinated by the science behind highly effective skincare, age reversal and optimal health, we’d love for you to join us! We are looking for a passionate Associate Scientist to join our team. The ideal candidate is skilled in tissue culture, molecular and cellular biology, and drug screening techniques.
This person is expected to function well within a team setting, complete tasks on time, and communicate effectively with team leaders. The Associate Scientist will work within the research and development team on the validation and manufacturing of advanced human 3D skin models, testing new compounds, and studying their mechanism of action.
Experience in the field of Aging Biology, Cellular Senescence, Protein analysis, Immunohistochemistry, and Image analysis programs (such as Image J or Cell Profiler) is greatly appreciated.
ABOUT YOU • Ph D in Molecular Biology, Cellular Biology, Bioengineering, or a similar field, Masters degree with a minimum 7+ years experience of relevant industry experience. • A team player able to work in a collaborative/team-oriented environment. • Excellent communication and presentation skills. • Must be authorized to work in the United States. RESPONSIBILITIES • Work within our R&D team to execute cell-based assays and experiments, perform analyses, and report results. • Expertise in tissue
culture and molecular biology techniques including q RT-PCR and Protein Analysis • Demonstrate critical thinking and ingenuity by bringing new ideas to unveil scientific questions that align with our mission and product development.
• Foster and promote effective and efficient teamwork within the company. • Interpret results and troubleshoot technical problems. • Ensure that experiments are performed to a consistently high standard. • Accurate documentation in lab notebooks and internal databases with excellent organization and attention to detail. BENEFITS • Competitive, full-time salary + Bonuses • Full coverage Health and Dental Insurance and 401k • Career Development Planning To apply, please send an email to with the subject line “Associate Scientist”, and include a CV and cover letter in your application.
customers achieve their objectives. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.
Discover what our 30,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health #Syneos Health Life means we're committed to our Total Self-culture - where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person's unique contributions
make a difference. We believe our success is a direct result of the people who are driving it - you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you.
That's why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. JOB SUMMARY Within Technology and Intelligent Solutions our strength is the efficiency with
which we deliver leading-edge products and support to those we serve.
We're proud to set the standard for success in our industry. The Senior Data Scientist supports our business goals by providing timely delivery of high-quality data science solutions and innovative products. JOB RESPONSIBILITIES Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse " big data" sources to generate actionable insights and solutions for client services and product enhancement. Interact with product and service teams to identify questions and issues for data analysis and experiments. Create, document, and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Assist team in identifying meaningful insights from large data and metadata sources, interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Manage configuration, curation, and cataloging of internal and external tech and data resources and 'always-on' data vendors to ensure timely product delivery and innovation. Mentor and coach junior team members across the business. Qualifications QUALIFICATION REQUIREMENTS Master's or Ph. D. degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a related quantitative field. Experience in developing and implementing simulation and optimization models and algorithms to address real-world challenges is preferred.
Strong proficiency in programming languages such as Python, with experience in simulation libraries (e. g. Sim Py) and optimization libraries or solvers (e. g. Gurobi, Pu LP). Solid understanding of mathematical optimization techniques, including linear programming, integer programming, mixed-integer programming, and other relevant optimization techniques. Familiarity with other optimization techniques (e. g. quadratic programming, dynamic programming, evolutionary algorithms) and machine learning techniques is a plus.
Proficiency in working with large datasets, data preprocessing techniques, statistical analysis, and Monte Carlo simulation. Excellent problem-solving and critical-thinking abilities, with a track record of developing innovative solutions for complex problems. Strong communication skills to effectively convey complex simulation and optimization concepts, results, and insights to both technical and non-technical stakeholders. Experience working with cross-functional teams, managing multiple projects simultaneously, and delivering results within deadlines.
Familiarity with cloud platforms (e. g. Azure), distributed computing, and big data technologies is desirable. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time.
Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. The annual base salary for this position ranges from $102,600 to $178,600. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.
Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities.
Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees.
The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. #LI-MS5PDN-9983dca2-ae84-425385a6b5ab
We are currently seeking applications to fill the following job opening at Celgard where we develop and manufacture membrane battery separators that are critical components used in lithium-ion batteries for electric drive vehicles (EDVs) and energy storage systems (ESS).
Company: Celgard, LLCJob Description: About Us For more than 50 years, Celgard, LLC has been a proven global leader in the development and production of high-performance membrane technology. Our products are used in a broad range of energy storage and other barrier-type applications, including lithium-ion batteries, lithium primary, and other specialty battery solutions, technical textiles such as waterproof breathable
apparel and medical personal protective equipment (PPE), and other specialty applications. Headquartered in the United States, we operate manufacturing facilities in the USA and China and have sales and technical service staff located strategically throughout North America, Europe, and Asia.
Celgard is part of Polypore International, a leading global high-technology company specializing in microporous membranes. Polypore brings advanced development and manufacturing know-how as well as unique problem-solving capabilities to customers' lithium-ion and lead-acid battery development teams. Polypore is an Asahi Kasei Group company, which is a diversified group of companies led by the holding
company Asahi Kasei Corp. with operations in the material, homes, and healthcare business sectors.
Reporting Relationships This position directly reports to the Plant Engineering Manager and does not supervise others. About the Role We are seeking a Staff Project Engineer to be a part of the Plant Engineering team based in Charlotte, NC. The Mechanical Project Engineer is a self-starter that takes ownership of assigned projects. Responsible for the entire project life cycle from scope determination through timely project closure on assigned projects. Works in cooperation with other project engineers to assist with project details as appropriate. Required Skills/ Abilities Required Proficient in the use of Auto CAD Proficient in the use of Auto Desk Inventor (proficiency in Solidworks is acceptable, but must transition to Inventor) Proficient in MS Office products and technical writing Strong attention to detail and interpersonal skills Proficient in mechanical system design for a balance of reliability, cost, and effectiveness Strong team approach to satisfy timelines Desired Understanding of industrial electrical controls P&ID Diagram interpretation and modification Knowledge of automation in material handling for efficiency improvements Application and design of plastic extrusion equipment.
Application and design in bonding, ovens, winding, conversion slitting, and packaging. Application and design with thin film web handling and tension control. Application with online analyzers and inspection equipment. Expectations Project management of capital and expense projects from concept to project closure Designs and manages install of modifications to existing equipment with input from production, maintenance, safety, R&D, and quality groups Create 3D CAD models and 2D drawings for mechanical designs Specification and install management of new equipment for capital and expense projects Project material quotation, requisition, tracking, and staging Project forecasting, budgeting, invoice management, and controlling costs within project budget Supervise and support installation contractors for project work.
Supervise and support start-up and internal checkout installation for project work. Maintain plant layout master file in Auto CAD Ability to travel, on occasion, domestically and internationally. Evaluates performance of plant systems and makes recommendations for improvements and cost savings. Knowledge and appreciation of safe work practices and environments; Maintains a high level of safety among all employees throughout the project process Uses technical knowledge and awareness of details to recognize when technical problems are developing in the various disciplines and initiate appropriate corrective actions.
Candidate Requirements Education BS in Engineering Required. Mechanical or Electrical preferred. Professional Experience 4+ years of experience in manufacturing facilities or industrial environments with a focus on mechanical projects, maintenance engineering, and design of machines required.
4+ years of experience with capital and expense project management required. Experience with plastic extrusion equipment, web handling equipment, process instrumentation, and utilities that support the process equipment. Well-developed communication (written and verbal) and interpersonal skills with the ability to communicate with all levels of the organization. Strong emphasis on execution of multiple projects Demonstrated ability to work with multiple other disciplines and plant departments Woking Conditions This position is in a manufacturing plant setting that would require working in a production environment around chemicals.
Work is would be 80% desk-based, but will require standing and walking for 20% of the time. You may be required to lift up to 35 pounds and/or push, pull, or otherwise move objects. Celgard manufacturing sites are IATF 16949 and ISO 9001 certified. #LI-MN1As an equal opportunity employer, Asahi Kasei believes a diverse workforce will provide us with the ability to continuously support the changes in the economy, society, and environment.
solutions. You'll design and build device and cloud software to support our current- and next-generation therapeutic devices. Your skillset will play a key role in our efforts to develop, deploy and maintain code that powers best-in-class medical devices for markets across the world.
What will you do? Software design and implementation of Glaukos' current and next generation medical devices, with a particular emphasis on Qt GUI development. Work with UX engineers to design user interfaces, ensuring they are user-friendly, intuitive, and synergistic with device usability features to deliver safe and effective therapeutic therapies in ophthalmology. Software design and implementation
of Glaukos' production software tools as required. Write detailed design documentation and assist in generating clear, concise, testable requirements. Research and backssment of new tools, techniques, and software for leverage in device software or group processes.
Design and execute lab tests, examine, and report on test results. Present and support design conclusions to the cross-functional teams. Advise management during project planning phases and during technical collaborative processes. Mentor junior engineers on technical issues. Work closely with the SWQA team to investigate and resolve issues during testing. How will you get here? A minimum Bachelor of Science degree
in Computer Science, Electrical and Computer Engineering, Physics, Mathematics, or similar technical field.
5+ years of progressive and hands-on experience designing and developing commercial system software for Linux. 5+ years of experience in software engineering, algorithm design, and large-scale system design. Strong knowledge of user interface design concepts and user experience (UI/UX) design. Proficiency in user interface design and development with Qt and QML. Strong working knowledge of C++. Experience building multi-threaded applications. Experience with design patterns, architecture patterns, and OO design concepts. Network and socket programming.
Product development - concept through commercialization. Experience working with git. Generous. Innovative. Leadership-driven. Family-oriented. Socially responsible. These are just a few of the terms our employees use to describe their experiences as a part of the Glaukos family. Those may seem like big aspirations, but here at Glaukos, we recognize the deep significance and profound meaning that comes from knowing that we can make a meaningful difference by helping improve eyesight of people worldwide. And because we're a rapidly growing company with a dynamic, fast-paced culture, individual employees are empowered with more diverse and enriching challenges that might not be possible at a larger company, and more fulfillment in knowing every person and every task is directly tied to making a difference in the life of others.
We offer competitive salary (based on experience), bonus eligibility, medical/dental/vision, life insurance, stock options, 401(k) Employer Match, Employee Stock Purchase Program, generous time off & paid holidays as well as time-off to volunteer in the community, plus the opportunity to work for a company that is pioneering a new glaucoma treatment class!
Moreover, Glaukos Corporation has been Certified as a Great Place to Work the last two years! Glaukos Corporation is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction including interactionual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. ABOUT US Founded in 1998, Glaukos Corporation is an ophthalmic medical technology and medical company focused on novel therapies for the treatment of glaucoma, corneal disorders, and retinal diseases.
Our company was the first company to bring to market Micro-Invasive Glaucoma Surgery (MIGS), the micro-invasive procedure which revolutionized the treatment and management of glaucoma. In 2012, we launched our first MIGS device-the i Stent®-in the United States, followed by our next-generation i Stent inject® device in September 2018 and i Stent inject® W in September 2020. In November 2019, Glaukos acquired Avedro, maker of the first and only FDA-approved cross-linking technology for progressive keratoconus.
And we continue to seek to leverage our platform technologies to build a comprehensive and proprietary portfolio of micro-scale surgical and medical therapies for glaucoma, corneal health, and retinal diseases. Our company completed an initial public offering in June of 2015, and our shares are traded on the New York Stock Exchange under the ticker symbol " GKOS" Our global headquarters is located in San Clemente, California with additional locations in Waltham and Burlington, Massachusetts. Glaukos Corporation is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employmentwithout regard to race, color, religion, interaction including interactionual orientation and genderidentity, national origin, disability, protected Veteran Status, or any othercharacteristic protected by applicable federal, state, or local law.
Aliso Viejo, California, and we have additional locations in the United States, Canada, United Kingdom, Germany, Japan, Australia and Brazil. How will you make an impact? The Lead Manufacturing Technician will be directly responsible for: Prepare components and build assemblies Ability to perform activities under a microscope Prepare bulk drug formulations Perform the following: Filing, capping, and crimping operations Packaging and labeling operations Sampling Visual inspections Real-time review of all executed documentation on the floor Oversee and assign daily production activities Ensure proper documentation (c GMP and GDP) Open/close work orders in Maximo and the enterprise resource
planning (ERP) system Oversee inventory on a daily basis in the ERP system Ability to address and resolve daily issues on the manufacturing floor Provide feedback and escalation to leadership Maintain production yield database Provide support for QMS including non-conformances (NCs), corrective and preventative actions (CAPAs), and change controls (CCs)) Additional tasks as required What will you do?
Maintain the operation schedule and allocate resources accordingly Oversee daily production activities Review all documentation and ensure completion following c GMP, QMS, and GDP guidelines. Use of Word, Excel and ERP to complete document reviews, training, and inventory Maintain
on the floor inventory for accuracy Revise documentation to ensure accuracy and compliance Communicate feedback to engineering on non-standard build requests, validation builds, clinical builds, etc.
How will you get here? High School Diploma Required 8+ years of related experience with high school diploma 6+ years of related experience with associate degree in science or engineering 4+ years of experience with bachelor's degree in science or engineering Demonstrates increased responsibility and leadership skills Generous. Innovative. Leadership-driven. Family-oriented. Socially responsible. These are just a few of the terms our employees use to describe their experiences as a part of the Glaukos family.
Those may seem like big aspirations, but here at Glaukos, we recognize the deep significance and profound meaning that comes from knowing that we can make a meaningful difference by helping improve eyesight of people worldwide. And because we're a rapidly growing company with a dynamic, fast-paced culture, individual employees are empowered with more diverse and enriching challenges that might not be possible at a larger company, and more fulfillment in knowing every person and every task is directly tied to making a difference in the life of others.
We offer competitive salary (based on experience), bonus eligibility, medical/dental/vision, life insurance, stock options, 401(k) Employer Match, Employee Stock Purchase Program, generous time off & paid holidays as well as time-off to volunteer in the community, plus the opportunity to work for a company that is pioneering a new glaucoma treatment class! Moreover, Glaukos Corporation has been Certified as a Great Place to Work the last three years! Glaukos Corporation is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction including interactionual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
ABOUT US Founded in 1998, Glaukos Corporation is an ophthalmic medical technology and medical company focused on novel therapies for the treatment of glaucoma, corneal disorders, and retinal diseases. Our company was the first company to bring to market Micro-Invasive Glaucoma Surgery (MIGS), the micro-invasive procedure which revolutionized the treatment and management of glaucoma.
In 2012, we launched our first MIGS device-the i Stent®-in the United States, followed by our next-generation i Stent inject® device in September 2018 and i Stent inject® W in September 2020. In November 2019, Glaukos acquired Avedro, maker of the first and only FDA-approved cross-linking technology for progressive keratoconus. And we continue to seek to leverage our platform technologies to build a comprehensive and proprietary portfolio of micro-scale surgical and medical therapies for glaucoma, corneal health, and retinal diseases. Our company completed an initial public offering in June of 2015, and our shares are traded on the New York Stock Exchange under the ticker symbol " GKOS" Our global headquarters is located in San Clemente, California with additional locations in Waltham and Burlington, Massachusetts.
Glaukos Corporation is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employmentwithout regard to race, color, religion, interaction including interactionual orientation and genderidentity, national origin, disability, protected Veteran Status, or any othercharacteristic protected by applicable federal, state, or local law.
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life.
l We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( /careers/corporate/data-science ). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a
whole new generation of predictive analytics and artificial intelligence solutions. In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company.
We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company. In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and
data science product managers. This role will support our newly formed generative AI practice and report to the director of data science for generative AI.
The person in the role is expected to have prior experience with creating generative AI solutions for practical business use cases. NYL's CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this role has to opportunity to help build out that vision. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential. Responsibilities Supports and helps build a generative AI practice within CDSAi.
This includes supporting use case development and associated stakeholder management in various business areas. It also means influencing infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, and governance (in collaboration with model governance team and Legal). Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production. Independently leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs backssments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical/ AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
Tests new statistical and machine learning analysis methods, software and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
Deploys analytical solution in production systems. Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions. Evangelizes the use of data-based decision making and Analytics within New York Life. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
Resolves problems and removes obstacles to timely and high-quality project completion. Works collaboratively with project and product managers within CDSAi and on other teams. Supports internal events, expos, lunch & learns, etc. with displays and presentations. Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed ( Required qualifications Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar. 4+ years of experience with predictive analytics using large and complex datasets.
Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc. ) and non-parametric techniques (GBM, NN, NLP). Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc. ), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones). Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and Git Hub.
Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes. Detailed recent NLP experience (basic techniques, large language models, transformers, etc. ) 2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally this would include training, fine-tuning and prompt engineering. Experience with disparate impact testing vs. protected classes of statistical models is a plus.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc. ) as well as third-party data vendors and consultants. Experience with insurance or consumer financial data is a plus. Location: 51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday. Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits.
Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID: 89157 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Testing, VP, Executive, Data Analyst, Scientific, Technology, Management, Data, Engineering Requisition #: 104303xyz X6ahf9io63
will be responsible to contribute with limited supervision to all aspects of assay development, technology transfer, and/or troubleshooting. The ideal candidate will have solid laboratory experience in the field of immunology and/or cell biology, a broad skill set encompassing working with primary immune cells to developing bioanalytical assays capable to meet clinical assay requirement.
The candidate should be current on state-of-the art technologies and is expected to champion evaluation of new technologies and optimize processes. Providing expert technical representation on multidisciplinary teams will be expected. Responsibilities Provide scientific input to the design and execution
of ligand binding assays (LBA) such as ELISA and/or cell-based assays such as luciferase reporter assays Responsible for the execution of method development, troubleshooting and/or pre-clinical/clinical sample analysis as needed Contribute to the backssment and implementation of new analytical technologies Serve as an internal subject matter expert on developed assays Accountability for generated the data Work Experience Education Minimum Requirement: Ph D in Biological Sciences or related area with 0-3 years, or a MS degree with 4+ years, or a BS degree with 7+ years Required Skills: Critical thinking and good trouble-shooting skills Experience in general cell biology methods including maintenance
of cell lines and/or primary cells Experience with immunoassays such as ELISA, Alpha Lisa, multiplexed LBA on MSD and/or Luminex platforms Adherence to basic safety procedures in a BSL2 laboratory Good verbal and written communication Ability to follow procedures and thoroughly document experiments Communicate results effectively in presentations to stakeholders in partner organizations or at external scientific meetings, to write technical reports, and to participate on cross-functional teams Preferred Experience and Skills: Experience with cell-based assays in the context of immune response characterization such as viral neutralization, PRNT/VRNT/FRNT, ELISpot, or multi-color flow cytometry Prior experience with PBMC isolation, human and/or mouse tumor tissue processing Experience in molecular biology technique such as DNA and RNA isolation, q PCR, digital PCR, RNAseq, NGS, or CRISPR Familiarity with liquid handlers and other automation platforms for sample preparation and assay process Strong attention to detail with the ability to multi-task and handle multiple responsibilities simultaneously #PCDBio Analytical Requisition ID: P-100545PDN-9908367e-af45-44b8-bab7-c08c0a508d70
and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture. The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life.
l We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website ( /careers/corporate/data-science ). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a
whole new generation of predictive analytics and artificial intelligence solutions. In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company.
We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company. In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and
data science product managers. This role will support our newly formed generative AI practice and report to the director of data science for generative AI.
The person in the role is expected to have prior experience with creating generative AI solutions for practical business use cases. NYL's CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this role has to opportunity to help build out that vision. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential. Responsibilities Supports and helps build a generative AI practice within CDSAi.
This includes supporting use case development and associated stakeholder management in various business areas. It also means influencing infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, and governance (in collaboration with model governance team and Legal). Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production. Independently leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, which includes strategic consulting, needs backssments, project scoping and the preparation/presentation of analytical proposals. Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs.
Tests new statistical and machine learning analysis methods, software and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring. Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
Deploys analytical solution in production systems. Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions. Evangelizes the use of data-based decision making and Analytics within New York Life. Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with internal clients and stakeholders on project/test results, opportunities, questions.
Resolves problems and removes obstacles to timely and high-quality project completion. Works collaboratively with project and product managers within CDSAi and on other teams. Supports internal events, expos, lunch & learns, etc. with displays and presentations. Follows industry trends in insurance and related data/analytics processes and businesses. Functions as the analytics expert in meetings with other internal areas and external vendors. Contributes ideas and actively participates in proof-of-concept tests of new processes and technologies.
Stays up to date on existing and proposed legislation and regulation (on federal and state level) that impact AI in underwriting. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Travels to events and vendor meetings as needed ( Required qualifications Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar. 4+ years of experience with predictive analytics using large and complex datasets.
Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc. ) and non-parametric techniques (GBM, NN, NLP). Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc. ), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones). Substantial prior programming experience in languages such as R, Python, SPARK, SQL. Comfort with professional software development process and Git Hub.
Demonstrated expertise in deploying real-time models into production environments. This includes production-ready code, containerizing models, testing, and integration into business processes. Detailed recent NLP experience (basic techniques, large language models, transformers, etc. ) 2+ years of experience with generative AI solutions (both development and deployment/integration). Ideally this would include training, fine-tuning and prompt engineering. Experience with disparate impact testing vs. protected classes of statistical models is a plus.
Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups (Business functions, Data, IT, Legal, Government Relations, etc. ) as well as third-party data vendors and consultants. Experience with insurance or consumer financial data is a plus. Location:51 Madison Ave, Manhattan. Presence in the office is required Tuesday - Thursday. Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Click here to learn more about our benefits.
Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses " Be Good At Life.
" To learn more, please visit Linked In , our Newsroom and the Careers page of . Job Requisition ID:89157PDN-9977c3ef-cec6-4f14-ac16-cd743666fae7
of cancer, including the identification of common and rare loci for cancer risk, exploration of underlying functional mechanisms and the impact of environmental exposures, and use of genetic variants for risk stratification and prevention. For more information visit the DCEG website.
The CGB conducts interdisciplinary research to advance the understanding of the molecular pathogenesis of cancer and to translate this knowledge into effective evidence-based cancer prevention and control strategies for cancer-prone populations as well as general population. The CEU has a large research portfolio on human papillomavirus (HPV)-related basic and translational epidemiologic research projects.
The CEU also conducts basic and translational epidemiologic research projects on other gynecologic cancer and other epithelial tumors such as oral cavity, head-and-neck, and lung cancers.
Study-derived biospecimens are routinely leveraged into collaborative, laboratory-based, etiologically oriented analyses of genomics and molecular susceptibility. The Staff Scientist, working under the direction of a Senior Investigator within the CEU, will have responsibilities related to all aspects of the investigator's global health-oriented research program examining the etiology, prevention, and control of HPV-related anogenital cancer, breast cancer, and oral cavity cancer. Specific duties will
include coordinating study design (e. g. developing protocols, questionnaires, and specimen handling procedures) and implementation, study management (data coding and cleaning, specimen tracking, and human subjects' approvals), statistical analysis, shared mentoring and supervision, and preparation of reports for presentation or publication.
Independent work on analyses and pilot projects will be encouraged. Some international travel in support of field studies may be required. DHHS, NIH, and NCI are Equal Opportunity Employers Required Qualifications The successful candidate must hold a doctoral degree or equivalent in a relevant discipline (e. g. epidemiology, biostatistics, or public health).
The position requires organizational abilities, attention to detail, initiative, an aptitude for multi-tasking, and the ability to work independently. The position requires effective oral and written communication skills as demonstrated through presentations and publications. Experience in setting up and conducting epidemiologic studies and working internationally is a plus. The ideal candidate will have knowledge of disciplines of research in the CEU. Fluency in Spanish, French or Portuguese is preferred. Benefits Salary and benefits are commensurate with his/her qualifications and experience.
Full Federal benefits including leave, health and life insurance, long-term care insurance, retirement, and savings plan (401k equivalent) will be provided. Equal Employment Opportunity Selection for this position will be based solely on merit, with no discrimination for non-merit reasons such as race, color, religion, gender, interactionual orientation, national origin, political affiliation, marital status, disability, age, or membership or non-membership in an employee organization. NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
Equal Employment Opportunity (EEO) for federal employees & job applicants. Standards of Conduct/Financial Disclosure If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency. Foreign Education This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades).
Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Learn more about Foreign Education. Reasonable Accommodation NIH provides reasonable accommodations to applicants with disabilities. If you require reasonable accommodation during any part of the application and hiring process, please notify us. The decision on granting reasonable accommodation will be made on a case-by-case basis. PDN-995b9e4f-bfab-7cb17dfc8b93
