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Biology Data Science Jobs in Portland, OR (NOW HIRING)

Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or ... structural biology, antibody engineering, or related fields * Experience with NGS, SPR, or Flow ...

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and ...

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and ...

IB Biology Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at teaching experimental design, data analysis, and biological systems analysis for IB ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

AP Biology Tutor

Portland, OR · Remote

$18 - $40/hr

Guides students through experimental design, data analysis using chi-square tests, interpreting ... Emphasizes scientific practices and connects molecular biology to ecology, medicine, and ...

College Biology Tutor

Portland, OR · Remote

$18 - $40/hr

Guides students through interpreting experimental data, constructing phylogenetic trees, solving ... Emphasizes scientific reasoning and experimental design, connecting biology to biomedical research ...

Analyze and interpret molecular, imaging, and functional data to generate mechanistic insight and ... Enthusiasm for mission‑driven science within a fast‑paced startup setting. You'll Stand Out ...

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Showing results 1-20

Biology Data Science information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do biology data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for biology data science in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a biology data science?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

What are the day-to-day responsibilities of a biology data science?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

What skills and qualifications are needed to thrive as a biology data science?

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

Can I get into biology data science with a biology degree?

Biology data science roles often accept candidates with a biology degree, especially if they have skills in programming, statistics, and data analysis tools like Python or R. Gaining experience through coursework, projects, or certifications in data science can improve employability in this field.

What do biology data scientists do?

Biology data scientists analyze biological data using statistical methods, machine learning, and programming tools like Python or R. They work on projects such as genomics, drug discovery, and ecological modeling to extract meaningful insights from complex datasets, often collaborating with biologists and researchers.

What are the most commonly searched types of Biology Data Science jobs in Portland, OR?

The most popular types of Biology Data Science jobs in Portland, OR are:

What are popular job titles related to Biology Data Science jobs in Portland, OR?

For Biology Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Biology Data Science jobs in Portland, OR look for?

The top searched job categories for Biology Data Science jobs in Portland, OR are:

Infographic showing various Biology Data Science job openings in Portland, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Senior Technical Product Manager

Absci Corporation

Vancouver, WA • On-site, Remote

$145K - $180K/yr

Full-time

Medical, Dental, Vision

Posted 27 days ago


Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
Senior Technical Product Manager (AI Research & Development)
Remote within the United States. Hybrid work available in Vancouver, WA; New York City, NY.
We are currently seeking a Senior Technical Product Manager to join our AI Research and Development team. You will be responsible for developing and executing on the vision, strategy, and deployment of both AI and Lab Products at Absci. You will drive small, interdisciplinary teams of Artificial Intelligence (AI) and Machine Learning (ML) Researchers, Software Engineers, Structural Biologists, and Screening Scientists to build delivery platforms that allow us to design, optimize, and validate biologics for treating conditions like cancer, autoimmune diseases, and infectious diseases. You will serve as a bridge between our AI Research and Biologics Discovery Technology teams, leading initiatives surrounding the development and/or application in one of two key areas:
AI-Guided Target Identification: An AI platform that leverages genetic-based evidence to discover novel target-indication pairs and de-risk in vivo or ex vivo pathway validation.
AI-Guided Drug Design: A platform that uses generative AI to design and optimize antibody-based drugs to grow Absci's internal pipeline and deliver on external partnerships.
Responsibilities:
  • Gather and synthesize product requirements from AI, Engineering, and Wet Lab Scientists and Business Development teams, then drive alignment with leadership for actionable product strategy
  • Own product roadmaps with decisive precision and bias for action; make trade-off decisions between competing priorities and risk
  • Partner with managers and technical leads with diverse backgrounds and areas of expertise to establish a cohesive product vision
  • Build detailed roadmaps, backlogs, and execution plans for assigned domain; partner with management to define OKRs and KPIs; track performance and adjust strategy based on data
  • Lead cross-functional teams through product initiatives from conception through deployment and optimization, proactively identifying and removing any blockers
  • Conduct research with product team and potential users to understand needs, pain points, and opportunities
  • Drive adoption and successful deployment of products within internal programs and external partnerships

Qualifications:
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or related field
  • At least 5 years of professional experience working on production-grade software or technical products development
  • 3+ years of working or educational experience in AI/ML and/or Protein Engineering
  • Strong technical knowledge to enable effective collaboration with world-class engineers and scientists
  • Proven track record of creating and executing on product roadmaps to deliver high-impact work
  • Demonstrated ability to manage complex stakeholder relationships across diverse teams
  • Excellent written and oral communication skills; ability to explain complex technical and business concepts
  • Excellent organizational skills and ability to manage multiple competing priorities
  • Comfortable working in a fast-paced environment with autonomy, accountability, and bias for action

Preferred (but not required):
  • Masters or PhD degree in relevant field
  • Experience in the Biotech or Pharmaceutical Industries
  • Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or protein language models
  • Experience with MLOps tools such as Weights & Biases
  • Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology, structural biology, antibody engineering, or related fields
  • Experience with NGS, SPR, or Flow Cytometry data
  • Experience as an agile coach, product owner, or Scrum Master

The salary range for US-based employees in this position is $145,000 - $180,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits and ability to participate in our employee stock purchase plan.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.