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Biotech Data Science Remote Jobs in Oregon (NOW HIRING)

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

TMAC (The Medical Affairs Company (TMAC))

We can match you to jobs at big pharmaceutical companies, startups in biotech, and every ... science. * Remote working with flexible working hours (output focused rather than hours focused ...

TMAC

We can match you to jobs at big pharmaceutical companies, startups in biotech, and every ... science. * Remote working with flexible working hours (output focused rather than hours focused ...

Upstart

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Monks

Partner closely with the Data Science team to operationalize their work, deploying statistical and ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

LMI

Data Governance Specialist - Clearance Required

$85K - $145K/yr

Experience working with scientific or research-driven data sets. * Prior experience supporting DoW or federal customers. Location & Travel * Duty Location: This position may be performed in a remote ...

Media.Monks

$130K/yr

Partner closely with the Data Science team to operationalize their work, deploying statistical and ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

TMAC

We can match you to jobs at big pharmaceutical companies, startups in biotech, and every ... science. * Remote working with flexible working hours (output focused rather than hours focused ...

Argenx

Medical Science Liaison (Northwest)

Portland, OR · Remote

We are building a new kind of biotech company, one that maintains its roots as a science-based ... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ... Bachelor's degree in data science, statistics, computer science, healthcare informatics ...

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Biotech Data Science Remote information

What are the key skills and qualifications needed to thrive as a Biotech Data Scientist in a remote role, and why are they important?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

What are some common challenges faced by remote biotech data scientists, and how can they be addressed?

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.
What are the most commonly searched types of Biotech Data Science jobs in Oregon? The most popular types of Biotech Data Science jobs in Oregon are:
What are popular job titles related to Biotech Data Science Remote jobs in Oregon? For Biotech Data Science Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science Remote jobs in Oregon look for? The top searched job categories for Biotech Data Science Remote jobs in Oregon are:
What cities in Oregon are hiring for Biotech Data Science Remote jobs? Cities in Oregon with the most Biotech Data Science Remote job openings:
Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in Oregon as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 3% In-person, and 97% Remote job distribution.
Senior Clinical Programmer Contractor

Senior Clinical Programmer Contractor

Arcus Biosciences

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Summary

The Senior Clinical Programmer Contractor will be responsible for support of team data review, data reconciliation and edit checks, and programming submission ready SDTM deliverables. This position will report to a Senior Manager of Clinical Programming or higher and will interact regularly with internal and external biostatisticians, clinical data managers, and other team members. Demonstrated ability to prioritize work and to effectively communicate and collaborate with key stakeholders both within Biometrics and beyond (research, translational science, clinical science, clinical operations and regulatory) is a must.
The ideal candidate will come with years of solid industry experience working in a regulated global environment while also demonstrating know-how, flexibility and scientific curiosity useful for establishing internal infrastructure, developing analysis standards, and driving both formal and exploratory work. 

Responsibilities

  • Working from specifications developed by Data Management, with some support build and execute programs for internal data reviews, data reconciliation, and edit checks.
  • Assist in developing/maintaining clinical programming related standards and tools.
  • Work with data management to review case report forms, database specifications and similar documents.
  • With some support, develop data transfer specifications and manage the transfer of external data.
  • Program SDTM datasets and produce related CDISC deliverables such as aCRF, define.xml, reviewer’s guide, etc.
  • With minimal supervision, performs stakeholder management, negotiating timelines and scope of deliverables.
  • Participate in standards governance and developing biometric department operational processes.

Qualifications 

  • Bachelor’s or Master’s degree in a data science field, e.g., statistics, mathematics, epidemiology, computer science, bioinformatics, or another field with commensurate levels of experience.
  • 4+ years of biotechnology or pharmaceutical experience, with (immuno-) oncology experience preferred.
  • Good programming experience in SAS.
  • Experience with other software languages (e.g., Unix scripts, AI tools, R functions/packages, etc).
  • Good knowledge of CDISC data standards (CDASH, SDTM).
  • Good knowledge of data standards and demonstrated experience in the handling of non-CRF data including proven ability to work with diverse data types, such as biomarker, PK/PD, pharmacovigilance, etc.
  • Demonstrated ability to rapidly adapt to changing project and strategic requirements.
  • Takes a fit-for-purpose mindset to daily work as well as long-term vision.

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