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Biotech Data Science Jobs in Washington, DC (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 ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

Translate complex data science findings into clear, actionable insights for non-technical ... biotech, or consulting * Demonstrated proficiency in Python; production-quality code in a research ...

The ideal candidate will possess a strong background in both data science and software engineering ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

The ideal candidate will possess a strong background in both data science and software engineering ... 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 ...

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Biotech Data Science information

See Washington, DC salary details

$42.4K

$138.9K

$222.4K

How much do biotech data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for biotech data science in Washington, DC is $138,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $153,900.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the most commonly searched types of Biotech Data Science jobs in Washington, DC?

The most popular types of Biotech Data Science jobs in Washington, DC are:

What are popular job titles related to Biotech Data Science jobs in Washington, DC?

For Biotech Data Science jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Washington, DC look for?

The top searched job categories for Biotech Data Science jobs in Washington, DC are:

Infographic showing various Biotech Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $138,935 per year, or $66.8 per hour.

$120 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 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.

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