23,302 Scientist jobs in the United States

• Leading the design, development, and implementation of advanced bioinformatics pipelines and analytical workflows for diverse biological datasets.
• Developing and applying novel computational and statistical methodologies to address complex biological questions.
• Performing in-depth analysis of large-scale genomic, transcriptomic, proteomic, and epigenomic data.
• Interpreting research findings and presenting them to both scientific and non-scientific audiences.
• Collaborating closely with experimental biologists, clinicians, and other researchers to integrate computational analysis with experimental design and validation.
• Mentoring and guiding junior scientists and research staff in bioinformatics methodologies.
• Contributing to the preparation of research proposals, manuscripts for publication, and presentations at scientific conferences.
• Staying abreast of the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
• Ensuring data integrity, reproducibility, and adherence to best practices in computational research.

• Design, execute, and interpret complex genomic research experiments, including DNA sequencing, RNA sequencing, and epigenomic profiling.
• Develop and optimize novel genomic assays and analytical methodologies.
• Analyze and interpret large-scale genomic datasets, utilizing bioinformatics tools and statistical approaches.
• Collaborate with interdisciplinary teams of biologists, clinicians, and bioinformaticians to advance research goals.
• Write and submit high-impact research manuscripts for publication in peer-reviewed journals.
• Present research findings at national and international scientific conferences.
• Seek and secure external funding through grant applications from government agencies and foundations.
• Mentor and supervise postdoctoral fellows, graduate students, and research assistants.
• Manage laboratory resources, including equipment, supplies, and budgets.
• Ensure compliance with laboratory safety regulations and ethical research conduct.
• Stay abreast of the latest advancements in genomics, molecular biology, and related fields.

• Ph.D. in Genetics, Molecular Biology, Genomics, or a related life science discipline.
• Minimum of 7 years of post-doctoral research experience with a focus on genomics.
• Extensive hands-on experience with a wide range of genomic technologies (e.g., NGS, microarrays, qPCR, single-cell genomics).
• Demonstrated expertise in analyzing and interpreting complex genomic data using bioinformatics tools and statistical software.
• A strong publication record in reputable scientific journals.
• Proven ability to lead independent research projects and secure competitive grant funding.
• Excellent leadership, communication, and interpersonal skills.
• Experience mentoring junior researchers and managing laboratory operations.
• Familiarity with regulatory requirements for human subject research is a plus.
• Proficiency in common bioinformatics software and programming languages (e.g., R, Python, Bash) is highly desirable.

• Lead independent research projects in genomics and related fields.
• Design and execute experiments utilizing cutting-edge sequencing and molecular biology techniques.
• Perform advanced bioinformatics and statistical analysis of genomic data.
• Develop and validate new genomic assays and analysis pipelines.
• Interpret research findings and their implications for human health and disease.
• Secure research funding through competitive grant applications.
• Publish research results in high-impact peer-reviewed journals.
• Present research findings at national and international conferences.
• Collaborate with internal and external research partners.
• Mentor junior researchers and post-doctoral fellows.

• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms to analyze large, complex datasets from scientific experiments.
• Extract, clean, and transform data from diverse sources, ensuring data integrity and accuracy for analysis.
• Develop predictive models and analytical solutions to address challenging scientific questions and accelerate research breakthroughs.
• Collaborate closely with research scientists, engineers, and domain experts to understand their data needs and translate them into analytical frameworks.
• Communicate complex findings and insights clearly and effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Mentor junior data scientists and contribute to the growth and development of the data science team.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields, and evaluate their applicability to our research initiatives.
• Design and conduct A/B tests and other experimental designs to validate hypotheses and measure the impact of interventions.
• Develop and maintain data pipelines and workflows to ensure efficient data processing and analysis.
• Contribute to the strategic vision for data utilization and analytics within the organization.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Physics, Biology, or a related quantitative field.
• 10+ years of professional experience in data science, with a significant focus on scientific research or R&D environments.
• Expertise in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Deep understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Excellent data visualization skills and experience with tools like Tableau, Power BI, or Matplotlib.
• Strong ability to translate complex scientific problems into solvable data science challenges.
• Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
• Experience in a hybrid work environment and the ability to manage time effectively.

• Lead the design and execution of data science projects supporting scientific research initiatives.
• Develop and implement advanced statistical and machine learning models.
• Analyze large, complex scientific datasets to extract meaningful insights.
• Mentor and guide a team of data scientists and researchers.
• Collaborate with scientists and domain experts to define research objectives and analytical approaches.
• Identify and explore new data sources and analytical methodologies.
• Communicate complex findings clearly and effectively to both technical and non-technical audiences.
• Develop data visualizations and reports to illustrate key trends and results.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to the development of scientific publications and presentations.

• Ph.D. or Master's degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related scientific discipline.
• Minimum of 7 years of experience in data science, with a significant portion focused on scientific research.
• Proven experience leading data science teams and projects.
• Expertise in machine learning algorithms, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a remote environment.
• Demonstrated experience in a scientific domain (e.g., bioinformatics, computational chemistry, experimental physics).

Kenvue is currently recruiting for a:

Scientist, Research & Development

What we do

At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we're the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage - and have brilliant opportunities waiting for you! Join us in shaping our future-and yours. For more information , click here .

Role reports to:
Associate Director, R&D Analytical

Location:
North America, United States, New Jersey, Summit

Work Location:
Hybrid

What you will do

The Scientist Analytical Chemistry will be responsible for executing test method development, test method validation, test method transfer, technical investigations and troubleshooting, evaluation of technical transfer for manufacturing, stability, management of impurities and residual solvents. The Scientist, Analytical Chemistry will manage the workload to meet aggressive timelines and will serve as part of cross-functional project teams, which impact product specifications, change controls, and fit for commercialization to Kenvue Products:

Key Responsibilities

• Evaluate, optimize and validate Analytical Chromatographic methods by using HPLC, UPLC, GC, UV-VIS, FTIR for the analysis of Cosmetic and Drug products.
• Author, review Analytical technical documents for product launches.
• Lead Analytical Test Method Transfers activities for the qualification of Internal and External Analytical laboratories.
• Support critical investigations and provide solutions to cross functional team.
• Maintain compliance with regulatory requirements and safety standards.
• Collaborate effectively with other groups within Analytical, Product Development, R&D and Supply Chain.

What we are looking for
Required Qualifications

• A minimum of a Bachelor's degree and a minimum of 3 years of professional experience is required OR a Master's degree is preferred.
• A degree in Chemistry or closely related field is required.
• Applied experience with HPLC, UPLC, GC, UV-Vis, FTIR, wet chemistry and compendial techniques is required.
• Strong written and verbal communication skills are required.
• The ability to work in a team environment and to manage multiple deliverables with competing timelines is required.

Desired Qualifications

• Prior experience developing Analytical methods is strongly preferred.
• Experience with semisolids (emulsions, creams, lotions and/or gels), medical devices, or combination products is preferred.
• Experience working in a cGMP environment is strongly preferred.
• Experience in writing Analytical documentation for NDA/ANDA submissions is preferred

What's in it for you

Annual base salary for new hires in this position ranges:

$81,175.00 - $114,600.00

This takes into account a number of factors including work location, the candidate's skills, experience, education level & other job-related factors.

• Competitive Benefit Package*
• Paid Company Holidays, Paid Vacation, Volunteer Time & More!
• Learning & Development Opportunities
• Kenvuer Impact Networks
• This list could vary based on location/region

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

• Perform advanced computational analyses of large-scale biological data.
• Develop and implement bioinformatics pipelines and algorithms.
• Identify and interpret novel biological insights from multi-omics data.
• Collaborate with experimental researchers on project design and data analysis.
• Build predictive models and statistical frameworks.
• Visualize complex biological datasets effectively.
• Communicate research findings through presentations and publications.
• Mentor junior computational biologists and bioinformaticians.
• Stay current with advancements in computational biology and bioinformatics.
• Contribute to the development of research strategies and proposals.