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Bioinformatics Manager Remote Jobs in Oregon (NOW HIRING)

Bioinformatics Manager Remote information

What is the difference between Bioinformatics Manager Remote vs Bioinformatics Scientist?

AspectBioinformatics Manager RemoteBioinformatics Scientist
CredentialsBachelor's or Master's in Bioinformatics, Biology, or related; leadership experienceDegree in Bioinformatics, Biology, or related; research-focused
Work EnvironmentRemote, collaborative teams, project managementLab or office-based, research and data analysis
Industry UsageUsed in biotech, pharma, research firms for overseeing projectsUsed in research institutions, biotech for data analysis

The Bioinformatics Manager Remote role focuses on overseeing bioinformatics projects remotely, managing teams, and coordinating research efforts. In contrast, the Bioinformatics Scientist primarily conducts data analysis and research, often in a lab or office setting. Both roles require strong bioinformatics credentials, but the manager position emphasizes leadership and project management skills, especially in a remote environment.

What are the key skills and qualifications needed to thrive as a Bioinformatics Manager in a remote setting, and why are they important?

To excel as a Bioinformatics Manager remotely, you need a strong background in computational biology, data analysis, and project leadership, typically supported by an advanced degree in bioinformatics or a related field. Familiarity with bioinformatics tools (such as Python, R, and workflow management systems), cloud computing platforms, and relevant certifications are highly beneficial. Excellent communication, team management, and problem-solving skills are crucial to effectively coordinate distributed teams and projects. These competencies ensure successful project delivery, data-driven decision making, and productive collaboration in a virtual environment.

What are some common challenges faced by Bioinformatics Managers working remotely, and how can they be addressed?

Bioinformatics Managers working remotely often encounter challenges such as coordinating distributed teams, ensuring data security, and maintaining effective communication across time zones. To address these issues, it's important to implement robust project management tools, establish clear protocols for data sharing, and schedule regular virtual meetings to foster collaboration. Building a culture that encourages transparency and proactive communication can also help mitigate misunderstandings and keep projects on track.

What does a Bioinformatics Manager do in a remote role?

A Bioinformatics Manager working remotely oversees teams that analyze biological data, such as genetic or genomic information, using computational tools and software. They coordinate research projects, manage data pipelines, and ensure the quality and integrity of analyses performed. Additionally, they are responsible for mentoring team members, collaborating with scientists or clinicians, and helping to translate complex data into actionable insights for research or clinical applications—all while effectively managing workflows and communication in a remote environment.
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What cities in Oregon are hiring for Bioinformatics Manager Remote jobs? Cities in Oregon with the most Bioinformatics Manager Remote job openings:
Senior Statistical Programmer Analyst Contractor - Remote in US

Senior Statistical Programmer Analyst Contractor - Remote in US

Arcus Biosciences

Remote

Full-time

Posted 3 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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