efforts include conducting toxicological exposures of test subjects to environmentally relevant concentrations of chemicals, or water samples from contaminated sites. Data from such research shall then be used to determine hazard and/or risk of these contaminants with a focus on how molecular level impacts are linked to the individual or population.
Phenotypic observations are made on individual test subjects and related to genotypic changes. The following techniques are critical in performing the specified research: collection of samples from test subjects such as plants, animals or environmental matrices (e. g. water; nucleic acid isolation and purification; aquatic organism husbandry;
and basic laboratory maintenance such as cleaning stocking supplies. Duties/Responsibilities : Duties shall include feeding of test organisms, daily water quality control checks, breeding of fish, cleaning of tanks or other exposure vessels, and rearing of aquatic organisms in accordance with ERDC Institute for Animal Care and Use Committee (IACUC) guidelines.
Prepare test solutions and media in order to conduct exposures; setup, maintain, and breakdown experiments; record experimental endpoints and impacts of the test solution(s) on the individual and quality assurance/quality control data and general lab support such as cleaning, stocking and organizing equipment and supplies, and performing
sample receipt and processing. Dissect anesthetized test subjects in accordance with approved ERDC Institute for Animal Care and Use Committee (IACUC) guidelines and collect tissues, blood or other desired biological samples utilizing proper sample preservation for later study endpoints such as genetic and/or genomic analyses, body burden analyses, and/or biochemical analyses.
Position Requirements : Bachelor's degree in the areas of biology, environmental science, molecular biology, or related field. At least three (3) years of experience in scientific research using animals to determine toxicity of stressors of chemicals. Experience with collection of samples from test subjects such as plants, animals or environmental matrices (e.
g. water; nucleic acid isolation and purification; aquatic organism husbandry. Must complete all medical requirements and security requirements as required. Apply online at our website: kikiktagruk. /jobs/ Disclaimer: This is not to be an exclusive list of all responsibilities', duties, and skills required of the person in this job. KIC is an Equal Opportunity Employer. KIC considers all applicants for employment without regard to race, color, interaction, national origin, religion, age, physical or mental disability, family responsibility, marital status, interactionual orientation, political affiliation, veteran's status or any other legal protected status.
Pursuant to The Alaska Native Claims Settlement Act 43 U. S. C. Sec. 1601 et seq. and federal contractual requirements, Kikiktagruk Inupiat Corporation, may legally grant certain preference in employment opportunities to KIC Shareholders and their Descendants. EOE/AA/M/F/D/V. Please view Equal Employment Opportunity Posters provided by OFCCP here. Successful candidate must pass, comply and adhere to KIC's Drug and Alcohol policy/testing requirements and pass a thorough background check including fingerprinting.
Space Operations Command's (Sp OC) Offensive and Defensive Counterspace Team and it's Sensor's and Command and Control (C2) Analysis Team. In this role you will be building tools that use cutting-edge algorithms in support of a wide variety of space related activities to include but not limited to: Satellite positional pattern of behavior analysis Automatic weights and bias setting for a variety of sensors including ground (optical/radar) to space and space to space.
GEO Synchronous rendezvous and proximity operation (RPO) planning Candidates should have significant experience in one or more of the areas listed above. You will leverage your space domain knowledge in these areas to develop
tools in both legacy and modern programming languages to solve specific warfighter needs and capability gaps. Required Skills and Experience: Bachelor's Degree in a Data Science or STEM field 3+ years of experience supporting space/satellite related activity 3+ years of experience in Python or similar language Familiarity with scitkit-learn, matplotlib (or other plotting library), scipy, and numpy Ability to utilize appropriate algorithms to achieve desired outcomes.
Methods could include traditional statistics and machine learning (supervised and unsupervised) Experience taking projects from design and development through deployment Excellent communication skills and the ability to work
in a team with a variety of skill sets US citizenship with the ability to obtain a Do D security clearance Preferred Skills and Experience: A Master's Degree in a Data Science or other STEM field 5 years experience algorithmic development in python Experience with porting modern python into legacy python versions Experience developing on Linux and windows environments Satellite Operations Experience centered around one or both of the following RPO maneuver planning and execution and setting of sensor weights and bias Experience leading and executing technical development activities Experience with CAVENet
required OR Full Time Position - Hours 7am-3:30pm with weekend and holiday rotation.
Responsibilities: The Medical Laboratory Scientist is responsible for obtaining or receiving specimens, performing clinical laboratory tests by standardized procedures, understanding method principles, performing quality control, performing preventive maintenance, and interpreting results accurately, acceptably and within critical limits.
The MLS works independently, organizing work to meet established deadlines and validates all data obtained. Qualifications: Education Requirements Bachelor's Degree in Clinical/Medical Laboratory Science Bachelor's in some other field of study AND completion of a Clinical/Medical Laboratory Science progra Certification and Licensure ASCP eligible Required Skills Computer Skills to include use and navigation. Excellent Communications Skills Multitasking
better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google
Ads to Chrome, Android to You Tube, social to local, Google engineers are changing the world one technological achievement after another. The US base salary range for this full-time position is $164,000-$252,000 bonus equity benefits.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location
during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Learn more about benefits at Google. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL) (or 8 years of work experience with a Master's degree). 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e. g. Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Responsibilities Perform analysis utilizing relevant tools (e. g. SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e. g. suggests new analyses, infrastructure or experiments to drive improvements in the business).
Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders. Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise. Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
Directly or indirectly oversee the contributions of others and develop colleagues' capabilities in the area of specialization. Requisition #: 114166980769915590pca3lyuhf
and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. The US base salary range for this full-time position is $216,000-$317,000
bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a Ph D degree. Preferred qualifications: 12 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a Ph D degree. Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.
g. SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Requisition #: 101426695900144326pca3lyuhf
and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to You Tube, Social to Local, Google engineers are changing the world one technological achievement after another.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user. The US base salary range for this full-time position is $216,000-$317,000
bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
10 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a Ph D degree. Preferred qualifications: 12 years of work experience using analytics to solve product or business problems, coding (e. g. Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a Ph D degree. 6 years of experience as a people manager within a technical leadership role.
Responsibilities Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e. g. SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Requisition #: 134700360418632390pca3lyuhf
Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation
experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive Firm wide
initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills Ph D in a quantitative discipline, e.
g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with three years of industry experience Or an MS with at least five years of industry or research experience in the field. Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.
g. Tensor Flow, Py Torch, Num Py, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal Same Posting Description for Internal and External Candidates JPMorgan Chase & Co.
one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J. P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents and perspectives that they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, interactionual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. (If you are a US or Canadian applicant with a disability and wish to request an accommodation to complete the application process, please contact us by calling the Accessibility Line (US and Canada Only) -xyz X and indicate the specifics of the assistance needed.
) We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Additional details about total compensation and benefits will be provided during the hiring process. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans Base Pay/Salary New York, NY $147,250.00 - $260,000.00 / year; Seattle, WA $147,250.00 - $260,000.00 / year; Palo Alto, CA $147,250.00 - $260,000.00 / year
is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a Data Scientist to help Sanofi's digital transformation and data products. The successful candidate will have an opportunity to work within and between domains (e.
mercial, customer experience, consumer data, operational, medical and corporate functions data). It is a cross-functional role, undertaking projects within heterogeneous team together with other scientists, engineers and business experts.
As a Data Scientist, you will have the opportunity to work in Bridgewater (USA). Main responsibilities as Data Scientist: Apply data science expertise to multiple analytics projects Utilize Snowflake Data Foundations to explore and analyze large datasets relevant to corporate functions Identify patterns, trends, and insights to support decision-making processes Collaborate with data engineers to integrate these models into the Snowflake Data Foundations
Work with respective partners as needed to build machine learning models to derive predictive and prescriptive analytics for Digital corporate functions P&C and other Corp Functions Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver data products Participate in data science or cross-functional working groups in addressing specific challenges/ad-hoc projects.
Work in fast-paced agile environment as member of a product team (POD)Work with Informatica as the middleware to ensure seamless integration of data between various sources and Snowflake Clean, preprocess, and transform data to ensure its suitability for analysis and modeling Work on projects a) Uplift (P&C Architecture revamp for data between Workday, Informatica and Postgres) and b) Snowflake P&C Data Foundations enrichment About You: Master's degree, ideally in Medical, Life sciences and/or Marketing Familiarity with the core data science languages (such as Python, R, Scala), and database systems (e.
g. SQL, No SQL)Knowledge of cloud and high-performance computer environments (e. g. AWS, Snowflake, Azure, Informatica)Familiarity with Agile concepts and principleinteractioncellent written and verbal communication, business analysis, data visualization and data storytelling skills English is a must, French would be a plus Nice to have: Experience in production-ready software development Knowledge of Tableau, Power BI, Visier Experience in life sciences and healthcare Experience in a complex global organization Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations. Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science.
But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values.
We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. Digitalents Graduate Program - Data Scientist At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe.
Why Digitalents? Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career. From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success.
About the role: We are seeking a Data Scientist to help Sanofi's digital transformation and data products. The successful candidate will have an opportunity to work within and between domains (e. mercial, customer experience, consumer data, operational, medical and corporate functions data). It is a cross-functional role, undertaking projects within heterogeneous team together with other scientists, engineers and business experts. As a Data Scientist, you will have the opportunity to work in Bridgewater (USA). Main responsibilities as Data Scientist: Apply data science expertise to multiple analytics projects Utilize Snowflake Data Foundations to explore and analyze large datasets relevant to corporate functions Identify patterns, trends, and insights to support decision-making processes Collaborate with data engineers to integrate these models into the Snowflake Data Foundations Work with respective partners as needed to build machine learning models to derive predictive and prescriptive analytics for Digital corporate functions P&C and other Corp Functions Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver data products Participate in data science or cross-functional working groups in addressing specific challenges/ad-hoc projects.
Work in fast-paced agile environment as member of a product team (POD)Work with Informatica as the middleware to ensure seamless integration of data between various sources and Snowflake Clean, preprocess, and transform data to ensure its suitability for analysis and modeling Work on projects a) Uplift (P&C Architecture revamp for data between Workday, Informatica and Postgres) and b) Snowflake P&C Data Foundations enrichment About You: Master's degree, ideally in Medical, Life sciences and/or Marketing Familiarity with the core data science languages (such as Python, R, Scala), and database systems (e.
g. SQL, No SQL)Knowledge of cloud and high-performance computer environments (e. g. AWS, Snowflake, Azure, Informatica)Familiarity with Agile concepts and principleinteractioncellent written and verbal communication, business analysis, data visualization and data storytelling skills English is a must, French would be a plus Nice to have: Experience in production-ready software development Knowledge of Tableau, Power BI, Visier Experience in life sciences and healthcare Experience in a complex global organization Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations. Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers.
We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9aebe07b-3c9a-496d-b019-fac3ad19124d
Degree in Food Science, Biology, Microbiology (or equivalent), and HACCP certification Work Hours: 40-45 hours per week (Monday - Friday): Office Standard Hours: Between 7:00am - 5:00pm May require occasional off shift hours Work Environment: This job operates in a professional office environment.
This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Certain responsibilities may require visits to the production facilities. Core Responsibilities: Maintain all Identity Preserved programs associated with the facility. Work alongside customers and the R&D department in the development and implementation of new products.
Participate in Quality and Food Safety Team Meetings. Be the example in following GMPs, OSHA Safety, and all other procedures. Physical Demands: Must be able to lift 30 pounds and work on their feet, while using tools to perform repetitive actions Hearing and speaking to exchange information.
Lifting, carrying, pushing or pulling moderately heavy objects as assigned by position. Dexterity of hands and fingers for product testing Reaching overhead, above shoulders and horizontally. Bending at the waist, kneeling, sitting, or crouching Seeing to monitor food quality and quantity. Competencies: Comprehensive in practices, procedures and techniques involved in food manufacturing Has interpersonal
skills using tact, patience and courtesy Uses proper lifting techniques Comprehensive in advanced mathematic calculations Basic inventory practices and procedures Oral and written communication skills Comprehensive in record-keeping procedures Effective communication in English language Comprehensive Sensory Testing's Requirements Duties: Identity Preserved Oversee all Identity Preserved programs and act as main contact Monitor the Positive Release Program Log Initiate corrective actions for program as appropriate Maintain compliance with all Identity Preserved organizations Maintain all records associated with registered and certified products Complete all appropriate finished product testing and record results Research & Development Lead R&D plant trials Innovate bench top samples for new product development.
Collect and maintain analytical and process settings for all R&D products Create product formulas and customer product specification sheets as it pertains to finished product Assist in the procurement of R&D materials as needed Maintain updated ingredient database for the creation of product nutritional facts panels and ingredient statements Regulatory Maintain the Allergen List for the facility and make sure the company is aware of all changes Assist in the evaluation of new and existing vendors Review all film proofs, as needed, to be sure product packaging follows regulations Complete questionnaires, specification sheets, etc.
per customer request Communicate with vendors to acquire necessary documentation Update and maintain the Ingredient Hazard Analysis for all existing and new raw ingredients and packaging at the facility PSS verification and final sign off. Customer Relations Assist customers in answering questions pertaining to their products and the manufacturing process Provide customers with updated IP program certificates regarding their products Continuous Improvement Complete and/or assist in special projects around the facility as needed to aid in the continuous improvement of the production process, finished products, warehouse handling and storage, purchasing, etc.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change any time with or without notice. Additional duties may be required by management that are not included on this list.
software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
May telecommute. (385.31309)Employer will accept a Masters degree in Computer Science, Management Information Systems, Engineering or related field and 1 year of experience in the job offered or in a Data Scientist-related occupation. Position requires: Data Science; Data Modeling; Statistical Analysis; Big Data; Programming; Machine Learning Algorithms; Data Visualization
and Presentation; and Deep Learning. An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in.
Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability.
The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more.
We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work.
It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before. Oracle is an Equal Employment Opportunity Employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, national origin, interactionual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Which includes being a United States Affirmative Action Employer PDN-9aebe2af-4c0c-49f4-b05e-71830b36780b
of samples shall be required. Phenotypic along with general observations shall also be conducted during field collections. Specific efforts include isolation of nucleic acid from environmental samples and analyses of nucleic acid. Basic laboratory maintenance such as cleaning and stocking supplies and performing sample receipt and processing shall be required.
Duties shall include : Proper handling, storage, shipment, receipt, and processing of field collected samples. If required, dissect anesthetized test subjects in accordance with approved ERDC Institute for Animal Care and Use Committee (IACUC) guidelines and collect tissues, blood or other desired biological samples utilizing proper
sample preservation for later study endpoints such as genetic and/or genomic analyses, body burden analyses, and/or biochemical analyses. Shall record both phenotypic (observable changes due to environment or stressor) changes and general (e.
g. temperature, weather conditions, etc. ) observations during sampling. Nucleic acid isolation from environmental samples/matrices (e. g. soil, water, sediment, animal traces, and animal or plant tissues) using current, peer-reviewed methods. Nucleic acid shall be analyzed using PCR, real-time PCR, and/or DNA sequencing to include both Sanger and high-throughput sequencing. Required Experience : Bachelor's Degree in the areas of biology, environmental
science, molecular biology, genetics or related field.
At least three (3) years of experience in scientific research using animals or plants to determine toxicity of stressors and/or chemicals and three years of experience in working with nucleic acids. Must complete all medical requirements and security requirements as required. Apply online at our website: kikiktagruk. /jobs/ Disclaimer: This is not to be an exclusive list of all responsibilities', duties, and skills required of the person in this job. KIC is an Equal Opportunity Employer. KIC considers all applicants for employment without regard to race, color, interaction, national origin, religion, age, physical or mental disability, family responsibility, marital status, interactionual orientation, political affiliation, veteran's status or any other legal protected status.
Pursuant to The Alaska Native Claims Settlement Act 43 U. S. C. Sec. 1601 et seq. and federal contractual requirements, Kikiktagruk Inupiat Corporation, may legally grant certain preference in employment opportunities to KIC Shareholders and their Descendants. EOE/AA/M/F/D/V. Please view Equal Employment Opportunity Posters provided by OFCCP here. Successful candidate must pass, comply and adhere to KIC's Drug and Alcohol policy/testing requirements and pass a thorough background check including fingerprinting.
tirelessly to make that future a reality for patients everywhere, by fighting sickness with science, improving access with ingenuity, and healing hopelessness with heart. We focus on areas of medicine where we can make the biggest difference: Cardiovascular & Metabolism, Immunology, Infectious Diseases & Vaccines, Neuroscience, Oncology, and Pulmonary Arterial Hypertension.
Visit us: The successful candidate for this position will join the upstream process development team within the therapeutic protein process development group in Malvern, PA. The candidate will be responsible to perform upstream process development studies including: Participate in design of experiments Perform study
execution Participate in control strategy development Participate in tech transfer, facility fit, and process scale up/ scale down Record and analyze data Author technical reports Additional duties include: Participate in scientific investigations and trouble-shoot process issues that arise during development, technology transfer, or scale-up Collaborate on regulatory filings The candidate is expected to work effectively in a team environment and well as contributing individually to meet project objectives and timelines.
Other duties will be assigned, as necessary. Education: A Master's in Chemical Engineering or Biological Sciences or Biochemistry or related field with 4 years
of relevant experience OR bachelor's with 8 years of experience performing progressively advanced duties is required Requirements: Knowledge of and hands-on experience performing large molecule drug substance (API) upstream manufacturing process development is required Highly organized and capable of managing/ pursuing multiple projects with some supervision is required Good written and verbal communication skills are required Experience maintaining written records of work in the form of laboratory notebooks (paper or electronic) is required The ability to report data, present findings to management is required Experience with team-based collaborations and direct management of staff is required Occasional weekend work may be required Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www. careers.
