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Remote Bioinformatics Programmer Jobs (NOW HIRING)

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

... or remote work. Educational Requirements * B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) * Alternatively, equivalent industry experiencein bioinformatics or a related ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and ...

LuckyJay Consulting

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most ... You will work closely with experimental scientists, device engineers, and software and operations ...

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

The role is remote-based with regular travelrequired; travel may reach up to ~35% annually ... Master's, or PhD degreein Chemical Engineering, Biochemical Engineering, Bioinformatics, Process ...

Iff

AI Engineer, Industrial

New York, NY · On-site +1

$76K - $103K/yr

The role is remote-based with regular travelrequired; travel may reach up to ~35% annually ... Master's, or PhD degreein Chemical Engineering, Biochemical Engineering, Bioinformatics, Process ...

Zortech Solutions

Techo Functional PM-US

South San Francisco, CA/Remote Duration: 6 Months Role Scope / Deliverables: * Representing ... Experiences of bioinformatics tools and algorithms used in NGS analysis. * Excellent understanding ...

Black Canyon Consulting

Engineering Team Leader

Bethesda, MD · On-site +1

$109K - $144K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... Master of Science degree in engineering, computer sciences, information systems, bioinformatics, or ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess ...

Scispot

Customer Success Manager

Address customer questions and issues, working with product and engineering teams for timely ... Degree in Biotechnology, Life Sciences, Bioinformatics, or Business Management. * 3+ years of ...

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Remote Bioinformatics Programmer information

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How much do remote bioinformatics programmer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote bioinformatics programmer in the United States is $142,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $175,000.00 per year, depending on experience, location, and employer.

What is a Remote Bioinformatics Programmer?

A Remote Bioinformatics Programmer is a professional who designs, develops, and maintains software tools and algorithms for analyzing biological data, such as DNA, RNA, and protein sequences, while working from a location outside of a traditional office. They collaborate with biologists, researchers, and other team members through digital platforms to support scientific studies, often in genomics, biotechnology, or pharmaceutical research. Their work typically involves programming in languages like Python, R, or Java, managing large datasets, and ensuring the accuracy and efficiency of computational methods. Remote Bioinformatics Programmers need strong analytical, coding, and communication skills to effectively contribute to research projects from afar.

How do Remote Bioinformatics Programmers typically collaborate with research teams across different time zones?

Remote Bioinformatics Programmers often work closely with multidisciplinary research teams, including biologists, statisticians, and software engineers, who may be distributed globally. Collaboration is usually facilitated through regular virtual meetings, project management tools, and shared code repositories. Flexibility in scheduling and clear, proactive communication are essential to ensure project milestones are met and that team members remain aligned. Adapting to asynchronous workflows is a common challenge, but it also allows for greater autonomy and focused work periods.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Programmer, and why are they important?

To thrive as a Remote Bioinformatics Programmer, you need strong programming skills (such as Python, R, or Perl), a solid understanding of biology or genomics, and typically a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), and cloud computing platforms is essential, along with experience using version control systems like Git. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and delivering complex analyses. These competencies are vital for efficiently managing and interpreting large biological datasets, ensuring accurate research outcomes, and working effectively in virtual teams.
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Remote Bioinformatics Programmer jobs near you
Senior Statistical Programmer Analyst Contractor - Remote in US

Senior Statistical Programmer Analyst Contractor - Remote in US

Arcus Biosciences

Remote

Contractor

Posted 10 days ago

Job description

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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