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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 ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

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 (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 ...

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 ...

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 ...

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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:
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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
Senior Statistical Programmer Analyst Contractor - Remote in US

Senior Statistical Programmer Analyst Contractor - Remote in US

Arcus Biosciences

Remote

Full-time

Posted 2 days ago

Job description

Summary

The Senior Statistical Programmer Analyst Contractor will be responsible for supporting the submission readiness of study data packages per CDISC standards and FDA guidance, planning, execution, and quality of statistical analyses, and statistical programming infrastructure. This position will report into Head of Statistical Programming 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.


This is a unique opportunity to join a small but growing Biometrics team investigating a diverse portfolio of immuno-oncology therapeutics in early development. The ideal candidate will be a highly experienced technical SAS programmer/developer with an in‐depth understanding of clinical and/or statistical programming processes, tools, systems, and strong communication skills.

Responsibilities

  • Develop specifications, build and execute programs for internal data reviews, publications, exploratory, post-hoc and regulatory review.
  • Adopts strategic approach to producing and prioritizing analytical deliverables which includes study level or integrated analysis for safety signal detection or other business needs.
  • Work with data management to review case report forms, database specifications, and data transfer specifications
  • Manage on-time and quality delivery of CRO-generated analyses results.
  • Solid, demonstrated experience with CDASH and CDISC data standards (SDTM, ADaM) as well as health authority reporting requirements.
  • In-depth knowledge of data standards and demonstrated experience in the handling non-CRF data including proven ability to work with diverse data types.
  • Responsible for creating/reviewing SDTM/ADaM mapping specifications.
  • Generates or validates SDTM domains, ADaM datasets, reviewer's guide, and define.xml files.
  • Generates or validates TFLs to support the statistical analysis of data for clinical studies, regulatory submissions, and publications such as CSR, DSUR, IB, publications, etc. 

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
  • 8+ years programming experience with growing responsibility in biotechnology or pharmaceutical clinical trial environment.
  • Experience in software development and testing (e.g., SAS Macros tools, R functions/packages, Unix scripts etc).
  • Experts in developing applications using various technical stacks not limited to SAS, R and/or Python.
  • Solid understanding of industry standards such as CDISC, specifically SDTM and controlled terminology and/or ADaM.
  • Proven ability to translate sophisticated problems into clear and concise programming code/tools.
  • Basic Project management skills and experience.
  • Solid understanding of programming practices (including tools and processes), relevant health authority guidelines, such as (e.g., ICH‐GCP, 21 CFR Part 11), and relevant clinical R&D concepts.
  • Demonstrated strong written, verbal communication skills, ability to manage conflicting demands and priorities and to negotiate successfully.
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