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Remote Director Bioinformatics Jobs in California

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and ...

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Function As molecular data generation and frontier model intelligence ... Direct experience generating or analyzing functional-assay data (titration curves, deep mutational ...

Account Executive - Health System (Remote)

Menlo Park, CA · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We have built a world-class bioinformatics pipeline combining genomic insights, clinical data, and ... direct account management experience in a molecular diagnostic setting * 3-5 years of experience ...

Remote Director Bioinformatics information

What is a remote director of bioinformatics?

A Remote Director of Bioinformatics is a senior-level professional who leads bioinformatics teams and projects while working remotely, often for research institutions, biotech companies, or healthcare organizations. Their responsibilities include overseeing data analysis related to genomics, proteomics, and other biological data, managing teams of bioinformaticians, and setting strategic directions for bioinformatics initiatives. They also collaborate with scientists, IT specialists, and stakeholders to ensure the effective use of computational tools and resources in research and development. This role requires strong leadership, expertise in computational biology, and the ability to manage projects and teams from a remote location.

How does a remote director of bioinformatics effectively manage and support a distributed team?

As a Remote Director of Bioinformatics, you will typically oversee a geographically dispersed team of scientists, analysts, and engineers. Effective management involves leveraging collaboration tools, setting clear communication protocols, and scheduling regular virtual meetings to maintain alignment on project goals. You'll also play a key role in mentoring team members, resolving challenges related to time zones or asynchronous work, and ensuring that data security and compliance standards are consistently met. Building a strong team culture remotely is essential, often through transparent leadership and fostering open channels for feedback and support.

What are the key skills and qualifications needed to thrive as a remote director of bioinformatics, and why are they important?

To excel as a Remote Director of Bioinformatics, you need advanced expertise in bioinformatics, computational biology, and data analysis, usually supported by a PhD or equivalent experience. Familiarity with bioinformatics tools (e.g., Python, R, Next Generation Sequencing platforms), cloud computing environments, and project management software is essential. Exceptional leadership, cross-functional communication, and strategic planning skills are crucial for guiding distributed teams and collaborating with stakeholders. These competencies enable effective oversight of complex projects, drive scientific innovation, and ensure alignment with organizational goals in a remote setting.

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

AspectRemote Director BioinformaticsRemote Bioinformatics Scientist
Required CredentialsAdvanced degrees (PhD or MS), leadership experience, project management skillsTypically MS or PhD, strong technical and analytical skills
Work EnvironmentLeadership roles, strategic planning, team managementResearch, data analysis, software development
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, biotech companies, academia

The main difference between a Remote Director Bioinformatics and a Remote Bioinformatics Scientist lies in their responsibilities and experience level. Directors focus on strategic leadership, team management, and project oversight, often requiring extensive experience and advanced degrees. Scientists are more involved in hands-on research, data analysis, and technical tasks. Both roles are vital in biotech and pharma industries, but they differ in scope and seniority.

What are popular job titles related to Remote Director Bioinformatics jobs in California?

For Remote Director Bioinformatics jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Director Bioinformatics jobs in California look for?

The top searched job categories for Remote Director Bioinformatics jobs in California are:

What cities in California are hiring for Remote Director Bioinformatics jobs?

Cities in California with the most Remote Director Bioinformatics job openings:

Bioinformatics Scientist

Tempus

Redwood City, CA • On-site, Remote

Full-time

Posted 14 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy Science team. This role will focus directly on assay and algorithmic development, optimization, and analytical validation of our next-generation Liquid Biopsy assays. The ideal candidate will possess deep technical and biological expertise to address key liquid biopsy challenges for various applications including diagnostics, complete genomic profiling, therapeutic selection, and treatment response monitoring (TRM).

Core Duties and Responsibilities

  • High-Sensitivity Biomarker Detection: Develop, tune, and optimize novel assays, algorithms, machine learning and statistical models to analyze next-generation sequencing (NGS) and multimodal data to detect oncology related biomarkers (SNV/indel/CNV/rearrangements, MSI, bTMB) from cell free DNA.

  • Tumor Fraction Estimation & Modeling: Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation and tracking, enabling robust evaluation for longitudinal treatment response monitoring (TRM).

  • Noise Suppression & Error Correction: Improve advanced molecular barcoding filtering strategies to distinguish true low-frequency oncology-related biomarkers from background sequencing artifacts.

  • Clonal Hematopoiesis (CHIP) Disambiguation: Design and integrate machine learning classifiers and filtering logic to effectively differentiate non-tumor-derived Clonal Hematopoiesis variants from true tumor-derived variants, protecting patients from inappropriate therapy selections.

  • Performance Characterization & Regulatory Support: Design and execute experiments to evaluate the assay's analytical performance to support regulatory documentation for CAP/CLIA, New York State (NYS), FDA, and MolDx submissions.

  • Cross-Functional Collaboration: Work closely with wet-lab assay development scientists, medical directors, clinical scientists, biostatisticians, software engineers, and product managers to translate cutting-edge research into clinically actionable insights and production-scale pipelines.

Qualifications and Competencies

  • Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science

  • In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal NGS data (including epigenetics, DNA, RNA).

  • Computational skills using Python and/or R, including experience with data science and biological computing libraries.

  • Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common workflow management tools (Nextflow, Snakemake)

  • Proven scientific reputation as demonstrated by scientific publication and/or contribution to successful product development in industry

  • Strong background in constructing statistical models, creating predictive/prognostic algorithms, and applying machine learning techniques.

  • Demonstrated effective communication and presentation skills

  • Self-driven and works well in interdisciplinary teams

Pay Range: 100,000 - 140,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.