and collaborate with a team of technical professionals across disciplines. Join a community that strives to help you reach your greatest potential. Primary Responsibilities: Complete geotechnical engineering work as directed by Team Leader. Responsible for all aspects of geotechnical engineering projects including monitoring of exploration programs, soil classification, and engineering analysis.
Assist with preparation of proposals and engineering reports. Prepare design calculations, sketches, and technical specifications for geotechnical engineering portions of projects. Be responsible for coordinating field work with clients and subcontractors. Provide construction observations, submittal
and RFI review, and other construction phase services for geotechnical portions of projects. Requirements: B. S. or M. S. in Geotechnical or Civil Engineering.
Three (3+) plus years post-graduation experience. Have experience with monitoring of subsurface explorations, soil classification, laboratory testing, shallow foundation design, deep foundation design, retaining wall design, dam design, and writing reports. Experience with Auto CAD and Microsoft Office software preferred. Valid driver's license. C. T. Male Associates is more than just a place to work; it is a place to pursue your professional passions. Our goal is to create a unified and stimulating environment where your talents
and motivation are rewarded. Please apply at this link: /openings/ctmale/jobs/2218009-40142 Pay Range: $28.00 - $32.00 per hour, commensurate with experience and qualifications.
C. T. Male Associates is invested in its community and more than just a place to work; it is a place to grow your technical skills and pursue various professional opportunities. Come join a company where your talents and motivation are rewarded. At C. T. Male Associates, we embrace diversity and inclusion. We are committed to building a team with a variety of backgrounds, skills, and views. Our intent is to foster an environment where people of different backgrounds can contribute at their highest level and where their differences can make a positive impact on our firm, our clients, and our communities.
C. T. Male Associates is proud to be an equal opportunity workplace and affirmative action employer. All employment decisions are based on business needs, job requirements and individual qualifications. We invite all qualified applicants to be considered for employment regardless of race, color, religion or belief, national, social or ethnic origin, interaction (including pregnancy), age, physical, mental or sensory disability, HIV Status, interactionual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the law.
Job Posted by Applicant Pro
the effects of maternal psychiatric illness and medication use during pregnancy on offspring brain and behavioral development. A degree in a public health related field is required, with preferred experience in perinatal studies and in neuroscience.
There will be many opportunities for publications and for building a future research career.This position is not funded through a T32 training grant; foreign applicants with the appropriate work authorizations/visas are eligible. The successful candidate will possess excellent data analysis skills including knowledge of statistical principles, multiple software packages (e. g. R, SAS, SPSS) as well as strong written and verbal communication
skills, including experience with writing and publishing manuscripts. Duties/responsibilities: The candidate will participate in and complete research projects related to four NIH-funded studies.
Responsibilities include collection and analysis of data related to these grants, and presenting and publishing findings in high impact journals. At the same time, the candidate will be encouraged to use these studies, and the academic infrastructure, to develop their own research focus and eventually obtain independent funding (e. g. K Award). Minimum Qualifications: A Ph D in epidemiology, neuroscience, or related clinical or public health field is required. Preferred Qualifications: The ability
to work with large datasets is also preferred. Working knowledge of related fields (e.
g. neuroscience, genetics) is recommended but not a requirement. Experience with administrative components of research (e. g. preparing IRB documents and grant submissions) is also strongly preferred. To Apply: Submit a resume and cover letter on our website at: nyspi. /jobs/. Only applications submitted through our website will be considered. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits.
Excellent Benefits Package. Employer/Minority/Women/Disabled/Veteran Employer. VEVRAA 41 CFR 60-300.5(a) compliant. Job Posted by Applicant Pro
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
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. Job Title: NYL Internship: Data Scientist New York Life's AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 - 12 weeks. 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 . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No 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: 89478 Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Computer Science, Summer Internship, Social Media, Intern, Scientific, Technology, Entry Level, Marketing, Engineering Requisition #: 107507xyz X6ahf9io63
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. Job Title: NYL Internship: Data Scientist New York Life's AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master's or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 - 12 weeks. 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 . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No 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:89478PDN-9a22deef-36d8-46e9-911a-b8cb330c10a1
chemists. Utilize analytical data to detect and report issues in synthetic processes. Investigate scientific publications to enhance machinery or methods. Document analytical methods and maintain precise electronic records. Thrive in a high-energy setting, collaborating to meet internal project demands.
Prepare product specifications and produce Certificates of Analysis. Uphold stringent laboratory health and safety standards. Ensure laboratory cleanliness and organization. Participate actively in ensuring safety and quality control. Engage in project meetings and contribute to discussions. Qualifications Bachelors degree in Chemistry; advanced experience (3+ years) is preferred. Demonstrated
background in analytical chemistry or hands-on experience with chromatography systems. Preferred Qualifications Proven ability to troubleshoot and maintain complex analytical equipment.
Experience in a GMP or regulated laboratory environment. Proficiency in data analysis and interpretation. Familiarity with laboratory information management systems (LIMS). Effective project management skills, with a track record of meeting deadlines.
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. Job Title: NYL Internship: Data Scientist New York Life’s AI and Data team , led by Chief Data and Analytics Officer Don Vu delivers innovative data, insights and AI solutions for the organization.
Our AI team works on a diverse portfolio of AI and Gen AI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. Our efforts are fully supported by executive leadership, and we work hand in hand with our Business Partners through all stages of model development from ideation
to deployment. As it takes multiple skill sets to deliver AI models to production, our AI team includes product managers, data scientists, MLOps engineers, program managers, a model validation & governance group, and a communications & development group.
The AI team is looking to hire summer interns who are graduate students or recent graduates. The internships start in May / June with full time hours (40 hours per week). Ideal candidates have or are in the process of obtaining a Master’s or Ph D in Statistics, Data Science, Computer Science with Data Science emphasis or another field which is highly analytical and quantitative. As a member of our team, you will have the opportunity to
gain real-life work experience, develop your skills, and begin building a network in a professional environment.
Qualifications Recipient or in process of obtaining a Master’s or Ph D in Statistics, Data Science, Computer Science, Applied Mathematics or another field which is highly analytical / quantitative in nature Experience with standard machine learning / statistical techniques: GLM, Logistic Regression, GBM, Random Forests, Experimental Design, etc. Exposure to deep learning methods Excellent skills in Python or R Good feature engineering skills, ability to use SQL if needed Strong business sense Self-directed and independent Compensation is competitive.
Relocation / housing support will not be provided. The position is located in Manhattan (Madison and 27th, walking distance from Penn Station and Grand Central Station) on a hybrid schedule for 10 – 12 weeks. 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 . Salary range: $40 per hour Overtime eligible: Exempt Discretionary bonus eligible: No 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: 89478
Plan with Company Match Free On-Site Parking Point-earning employee reward program: Redeem for Prizes! Staff Pharmacist Position Overview: The Pharmacist supports shop operations by dispensing medications as prescribed and by maintaining compliance with all state, federal and other applicable regulatory agencies.
Join Our Team: Put the CARE back in CAREER - Join our team today! Responsibilities: Pharmacist Responsibilities: Applies the principles of medical care to ensure optimum medication-related patient outcomes. Coordinates the distribution of medications to patients. Participates, proactively, in medication safety and quality improvement initiatives. Qualifications: Pharmacist Qualifications:
BS in shop or Pharm D degree with additional knowledge and/or Certification in geriatrics preferred Excellent clinical, organization, interpersonal and communication skills with a commitment to provide high quality medical care2-3 years’ experience in a clinical shop practice with at least one year of long term care shop practice preferred Thorough knowledge and understanding of all applicable nursing home regulations and guidance Experience using Microsoft Word, Excel, Power Point, and Outlook EOE Statement: WE ARE AN EQUAL OPPORTUNITY EMPLOYER.
Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion,
gender, national origin, age, genetic information, military or veteran status, interactionual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
For more details: jobs-search. org/staff-pharmacist_buffalo-c441328/staff-pharmacist-buffalo_i1966602605
ensuring that it functions properly and safely on a 24hour basis. Reviews the medical record to ensure compliance. Conduct environmental rounds and follow up with resolution. Assigns duties to licensed personnel and supervises ancillary personnel. Ensures timely completion and submission of all unit reports.
Displays ownership of their unit, supervising on 24-hour basis and communicating with staff on all 3 shifts to be fully apprised of all events taking place backsses need for additional or needed equipment. Oversees the care and management of patients/residents and ensures that appropriate care and treatment are provided Facilitates inter-disciplinary care planning meetings and assists
in developing the plan of care Oversees the provision of care for licensed and non-licensed staff Collaborates with medical and other inter-disciplinary team members to ensure clinical management is optimal Performs audits as required Participates in discharge planning Oversees and Responds to patient/resident/family concerns, issues or complaints Ensures Accidents/Incidents are documented in Occurrence Report and makes recommendations for corrective action.
Notifies D. N. S. and Security of alleged abuse Participates in investigation Gathers necessary documentation for NYS DOH and internal investigations Ensures resolution Responsible for unit staffing plan, developing work schedules
for unit employees to ensure appropriate staffing levels and staffing mix are maintained.
Communicates staffing needs and scheduling requirements to appropriate staff for implementation and follows up to ensure staffing is appropriate. Oversees and manages clinical care and emergency response Evaluates all admissions and ensures compliance of admission policy and procedure Responds to all residents reported to have had an occurrence and backss for potential injury Ensures all central line and intravenous therapies are completed as per policy Responds to all emergency codes and provides appropriate direction Manages performance of direct and indirect reports.
Provides orientation, coaching, training and development. Takes corrective action when necessary. Utilizes corporate services resources such as Human Resources, Compliance, Legal, Finance, Information Services, Marketing, etc. as appropriate. Ensures appropriate staffing and resources to support department/agency services. Monitors productivity throughout the year and participates in annual budget preparation. Interviews and participates in the selection process for qualified staff in collaboration with Human Resources and department management. BSN from accredited school of nursing preferred or equivalent combination of education and experience from which comparable knowledge and ability can be acquired Minimum of 4 years clinical experience, including at least 2 years of management experience, preferably in a geriatric setting.
For more details: jobs-search. org/nurse-manager_new-york-r782074/nurse-manager-new-york_i1966603154
Injectable Aesthetics, Dermo-cosmetics, and Therapeutic Dermatology. Since our foundation in 1981, we have dedicated our focus and passion to the human body's largest organ - the skin - meeting individual consumer and patient needs with superior outcomes in partnership with healthcare professionals.
Because we understand that the skin we're in shapes our lives, we are advancing dermatology for every skin story. We look for people who focus on getting results, embrace learning and bring a positive energy. They must combine initiative with a sense of teamwork and collaboration. Above all, they must be passionate about doing something meaningful for consumers, patients, and the healthcare
professionals we serve every day. We aim to empower each employee and promote their personal growth while ensuring business needs are met now and into the future. Across our company, we embrace diversity and respect the dignity, privacy, and personal rights of every employee.
At Galderma, we actively give our teams reasons to believe in our bold ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. Job Title: Account Manager Location: Queens, NYJob Description The role of the Account Manager will implement sales/direct sales plans and processes
to maximize sales opportunity through promotion and sale of technical and/or nontechnical products and/or services and solutions directly to current and new end customers.
Key Responsibilities Implement Sales / Direct Sale plans and processes to maximize sales opportunity through promotion and sale of technical and/or nontechnical products and/or services and solutions directly to current and new end customer's Track and monitor lead generation plans to ensure a substantive sales opportunity pipeline Implement and execute Sales / Direct Sales processes and policies ensuring product/brand sales volumes and profit targets are met Collaborate on Sales / Direct Sales activities informing customers of new product/service introductions and prices Preferred Skills and Qualifications Bachelor's Degree or equivalent experience 2+ years of combined sales and customer service Strategic and consultative sales background Prior experience in buy and bill sales What We Offer in Return You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base.
Next Steps If your profile is a match, we will invite you for a first virtual conversation with the recruiter.
The next step is a virtual conversation with the hiring manager The final step is a panel conversation with the extended team Our people make a difference At Galderma, you'll work with people who are like you. And people that are different. We value what every member of our team brings. Professionalism, collaboration, and a friendly, supportive ethos is the perfect environment for people to thrive and excel in what they do. Employer's Rights: This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties.
You will be evaluated in part based on your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
