1

Data Scientist Biotech Jobs in Washington (NOW HIRING)

Data Scientist

Washington, DC · On-site

$120 - $170/hr

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest ... Data Scientist As a Data Scientist , you will design, develop, and implement scalable data ...

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $210K/yr

... and biotech companies make better, faster decisions across the drug development lifecycle ... BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in ...

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

Monitor AI machine learning biotechnology and national security policy trends Skills * A/B | A/B ... Data Science | Fine Tuning | Hybrid search | Information Retrieval | Knowledge graphs * Dash | Data ...

... Biotechnology preferred - Prior consulting or advisory firm experience preferred - Contributing to commercial analytics product development - Familiarity with NCQA HEDIS specifications and CMS Star ...

Position Biotechnology Research Scientist * Location: Adelphi, Maryland * Security Clearance ... Comply with policies on record-keeping and distribution limits for data and technical information.

next page

Showing results 1-20

Data Scientist Biotech information

What is the difference between Data Scientist Biotech vs Data Analyst Biotech?

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.

What cities in Washington are hiring for Data Scientist Biotech jobs?

Cities in Washington with the most Data Scientist Biotech job openings:

Infographic showing various Data Scientist Biotech job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Scientist

Washington, DC • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees

$120 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Disease we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Scientist

As a Data Scientist, you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients.

You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions. You will contribute to the implementation and continuous improvement of innovative analytics capabilities, helping to optimize methods, algorithms, and processes while ensuring solutions are reliable, scalable, and aligned with Amgen's quality and compliance standards.

Responsibilities
  • Collaborating with research scientist and other data scientists to develop AI and advanced analytics solution to speed drug research and development.
  • Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions
  • Collect business requirements / user stories for new or enhancements to existing analytic solutions
  • Train users in the use of solutions provided by the CfDA Data Science organization
  • Contribute to process improvement initiatives
  • Adhere to Amgen Policies, SOPs, and other controlled documents.
  • Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
  • Participate in external professional organizations, conferences and/or meetings.
Accountabilities
  • Contribute to the implementation of internally developed and externally provided analytic solutions
  • Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies
  • Recommend ongoing improvements to methods and algorithms that generate analytic insights
Win What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications

Doctorate degree PhD OR PharmD OR MD
OR
Masters degree and 3 years of related experience
OR
Bachelors degree and 5 years of related experience

Preferred Qualifications
  • MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field.
  • A proven ability to write robust code in R / Python
  • A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP etc.) and when to use them.
  • Proficiency in Linux operating system and associated shell commands.
  • Experience working effectively in a globally dispersed team environment.
  • Drug Development (pre-, early, late and/or observational) in related industries or academic research)
  • Experience working with:
    • Distributed compute / data technology (e.g., Spark, Python Dask)
    • DevOps frameworks (e.g., Git)
    • Building and deploying analytic solutions in a cloud environment
  • Entrepreneurial mindset with ability to self-direct
  • A translator able to communicate complex concepts to a non-technical audience
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#J-18808-Ljbffr