Title: Bioinformatics Analyst III
Location: Remote
Duration: 9 months
Services Overview:
Responsibilities include support of computational research priorities associated with oncology drug discovery programs. This variably entails querying large-scale cancer genomics resources for mutation/expression distributions, assessing internally generated omics datasets to derive biological insights, and investigating mechanisms that may affect clinical outcomes. Responsibilities also include informing discovery peers on computational opportunities for ongoing programs, providing feedback on experimental design, and communicating results to diverse scientific backgrounds.
Qualifications:
- A Ph.D. OR a Master's degree with 1-3 years of industry work experience OR a bachelor's degree with 6-8 years of experience in bioinformatics, computational biology, genomics, computer science, cancer biology, or immunology is required.
- Oncology experience is required, preferably with knowledge of immuno-oncology, immunology, and/or cancer genomics.
- Experience with next-generation sequence (NGS) analysis (RNAseq, WES, etc) and a strong understanding of principles behind raw data processing for common NGS data types are required.
- R fluency is required, Python competence is preferred.
- Experience with Linux, on-premise HPC, or AWS is required.
- Strong data visualization skills (ggplot2, plotly, etc) is required.
- Exceptional communication and collaboration skills are required.
- Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc is preferred.
- Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) preferred.
- Prior experience in the pharmaceutical industry or a related field is preferred.
What hours and days will this person be working: M-F, 9-5 (flexible)
What are the top 5 skills/requirements this person is required have?
- Required Skill 1: NGS analysis (RNAseq, WES, etc.)
- Required Skill 2: R programming
- Required Skill 3: experience with Linux, HPC clusters, or AWS
- Required Skill 4: Oncology background, with knowledge in immune-oncology, immunology and/or cancer genomics.
- Required Skill 5: Good communication skills
What years of experience, education, and/or certification is required?
- PhD. Degree in bioinformatics, computational biology, genomics, computer science, cancer biology, immunology, or a related field.
- Master's degree with typically 3-5 years of experience.
- Bachelor's degree with typically 6-8 years of experience.
What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?
- Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc
- Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx)
- Omics data workflow and computational pipeline development
- Prior experience in the pharmaceutical industry or a related field is preferred.
What is the environment that this person will be working in (i.e. group setting vs individual role)?
Is any testing required for this role?
Other notable details about the environment from the hiring manager about this role.
- Support of programs in early to late-stage discovery drug pipeline.
What positions/background experience do you feel are successful in this role?
- Prior research work in oncology bioinformatics analysis, either in academia or industry
What will the interview process be?
- Phone screen with hiring managers
- Panel interview with research team
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Spectraforce Technologies
Aug 02, 2025