Scientist III

Duties

• Contribute to oncology drug discovery research through in silico data-driven approaches.
• Leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs.
• Support Oncology drug development efforts.
• Identify, learn, and apply emerging technologies in data science and their applications to Client cancer therapeutics discovery and development.
• Apply and develop innovative analysis approaches when standard methods are not adequate.
• Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights.
• Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field.
• Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
• Ensure FAIR data analysis with clear documentation and reproducibility.

Skills

• Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
• Proficiency in working with bulk and single cell NGS data.
• Experience with oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc).
• Proficiency in working with high performance computing clusters (HPC).
• Proficiency in biological pathway analysis.

Note: This is a remote role (east coast preferred) working 40 hours per week. The manager would only like to see candidates with a PhD for this request.

Qualifications: PhD in a relevant field required.

Skills: Programming experience with Python and R for bioinformatic data analysis in unix-like systems. Proficiency in working with bulk and single cell NGS data. Experience with oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc). Proficiency in working with high performance computing clusters (HPC). Proficiency in biological pathway analysis.

Benefits: Competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

Pay: Not specified.

Schedule: 40 hours per week.

Job Title: Scientist III.

Location: Remote (East coast).

Duration: 12 Months.