12,200 Scientific jobs in the United States

• 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).

• Design, implement, and manage complex research projects in molecular biology, focusing on disease mechanisms and therapeutic development.
• Lead and mentor a team of research associates and post-doctoral fellows, fostering a collaborative and productive research environment.
• Develop and optimize novel molecular biology assays and experimental protocols.
• Perform rigorous data analysis, interpretation, and presentation of research findings.
• Author and co-author scientific publications for peer-reviewed journals and present research at national and international conferences.
• Contribute to the writing and submission of grant proposals to secure research funding.
• Manage laboratory resources, including equipment, consumables, and budgets.
• Collaborate with internal and external stakeholders, including clinical teams and industry partners.
• Ensure compliance with all laboratory safety regulations and ethical guidelines.
• Stay abreast of the latest advancements and emerging technologies in molecular biology and related fields.

• Ph.D. in Molecular Biology, Genetics, Biochemistry, or a related life sciences discipline.
• A minimum of 7 years of postdoctoral and/or research experience, with a strong emphasis on independent research and project leadership.
• Demonstrated track record of significant scientific contributions, evidenced by a strong publication record in reputable journals.
• Extensive hands-on experience with a wide range of molecular biology techniques (e.g., PCR, qPCR, Western blotting, CRISPR, next-generation sequencing, cell culture).
• Proven experience in experimental design, data analysis (including statistical methods), and interpretation.
• Excellent leadership, communication, and interpersonal skills, with the ability to mentor and inspire a research team.
• Experience in grant writing and securing research funding is highly desirable.
• Proficiency in scientific software and databases.

• 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.

Stanford University is one of the world’s most renowned universities. Sitting in the heart of the San Francisco Bay Area among the valley’s most progressive companies.

You will be working with an unparalleled leading edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference, and participate in human advancements. Our culture is fast paced, energetic and growing all of the time.

We offer a variety of benefits beyond traditional medical, dental, retirement and savings options:

• Events and program for children, sports camps, tuition options
• World class intellectual stimulation through learning and development classes, workshops and onsite conferences from leading edge speakers and faculty
• Work/life and family friendly policies and reimbursement
• Participation in Stanford’s social responsibility and sustainable programs for a better world
• A vibrant university culture that values the uniqueness of each individual

We are seeking candidates who are expert organizers, compliance gurus, and still have a spirit and energy to change the world.

About the Position:

Stanford University is seeking a Research Technical Manager 1 provide management and coordination of administrative and operations related functions for assigned research area(s) engaged in developing, advancing and applying sciences, engineering and technical research to innovate and deliver solutions in support of organizational goals. Manage staff at least 50% of the time to achieve the research and teaching mission, goals and objectives of the unit. Partner with faculty leadership on departmental affairs.

This position is for a Scientific Director will work directly with Prof. William Greenleaf to catalyze RNA medicine program at Stanford. They will coordinate effective and timely communications, track milestones, interface with funders, facilitate annual reviews and Management Group meetings, ensure timely publications, data availability, proper IP management, and support pre-clinical research activities. Also facilitate the transfer of reagents, data, and information among team members. They will work with faculty investigators, and Host Institutions for federal and foundation award. They will work with each Host Institution and Co -Investigators to track budgets and ensure appropriate deployment of resources.

Duties include:

• Provide strategic planning for own work group; participate with senior managers in higher level strategic planning. Communicate operational objectives and assignments and delegate to staff.
• Manage the daily operations of an assigned area(s) which include recruiting, hiring, training, developing evaluating and setting priorities of staff, coordinate business, technical, and educational activities for direct reports.
• Oversee interdepartmental activities, projects and efforts by applying advanced technical and professional knowledge. Serve as the initial managerial escalation point for problems from clients and other staff.
• Manage project budgets, schedules, and resources. Oversee preparation of periodic financial and technical reports and operating plans.
• Interface with clients to determine project requirements. Establish service level agreements with clients.
• Monitor scientific, engineering, and/or technology trends and evaluate emerging technologies to recommend for adoption and implementation.
• Communicate and implement policies, procedures, best practices, recommendations and guidelines compliance with established University administrative policies and procedures.

* - Other duties may also be assigned.

DESIRED QUALIFICATIONS:
Ph.D. in Molecular Biology or related field. Five plus year experience in RNA science, program development.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and five years of relevant experience, or combination of education and relevant experience. Advanced degree may be required.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Experience leading or overseeing the work of technical staff.
• Understanding of relevant scientific, engineering, or technical disciplines.
• Ability to problem solve.
• Ability to synthesize and articulate technical and scientific methodologies, specifications, and information.
• Experience leading scientific, engineering, or technical research projects or programs.
• Knowledge of emerging technologies, trends, methodologies, and resource management principles.
• Ability to work and communicate effectively with others.
• Strong customer relationship and consensus building skills.
• Ability to influence and establish effective working relationships in a diverse environment.
• Ability to resolve issues quickly and make decisions that meet university objectives in a collaborative culture.

CERTIFICATIONS & LICENSES:

None.

PHYSICAL REQUIREMENTS*:

• Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds.
• Occasionally sit, use a telephone or write by hand.
• Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

May require extended hours, evenings and weekends.

WORK STANDARDS (from JDL):

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,

The expected pay range for this position is $145,208 to $183,215 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Back to jobstags.new. Scientific Associate. New York, NY - Apply Who we are Healthcare Consultancy Group (HCG) is the global healthcare communications partner for pharma and biotech that accelerates the impact of medical science. HCG boldly defines t Associate, Healthcare, Communications, Science, Evaluation, Retail, Medical

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• In Company Thousand Oaks, the Automated Screening Platforms/ High-Throughput Assays group in the Lead Discovery & Characterization organization is seeking an entry-level temporary contract worker for a laboratory based on-site role to provide assay reagent preparation for screening assay delivery.
• The desired team member will primarily contribute to a high demand for routine cell culture (expansion, banking and quality-control) of various mammalian cell lines.
  
  

• In Company Thousand Oaks, the Automated Screening Platforms/ High-Throughput Assays group in the Lead Discovery & Characterization organization is seeking an entry-level temporary contract worker for a laboratory based on-site role to provide assay reagent preparation for screening assay delivery.
• The desired team member will primarily contribute to a high demand for routine cell culture (expansion, banking and quality-control) of various mammalian cell lines.
  
  

• Responsibilities will also include collaborating with robotic platform operators to execute high-throughput cell-based & biochemical assays, in support of Company's small molecule therapeutic discovery research pipeline & platform projects. Additional tasks include general laboratory maintenance activities such as preparing media & buffers, ordering/ stocking reagents & consumables.
• Training will be provided to use Company's assay information management software applications (electronic lab notebook) and as needed utilization of laboratory instrumentation to deliver on job responsibilities.
  
  

• Education & Experience: BS degree with mammalian cell culture experience is required.
• Skills: Ideal candidates are detail-oriented, highly motivated, quick learners, and team players.
• Background: Strong background in life sciences, molecular & cellular biology, and/or biochemistry is a must.
• Preferred Experience: Experience developing and performing microtiter plate-based biochemical & cell-based assays (e.g., luminescence, TRF, ALPHA, high-content imaging).
• Bonus Skills: Software programming (Python) or AI agent (Copilot, ChatGPT) experience is beneficial but not required.
  
  

• Seniority level Not Applicable

• Employment type Contract

• Job function Research, Analyst, and Information Technology
• Industries Pharmaceutical Manufacturing

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