Computational Scientist (Contract Position)

• PhD degree and a minimum of two (2) years of progressively responsible relevant experience.
• Demonstrated experience and in-depth understanding of tumor genomics and cancer biology.
• Proven expertise in next-generation sequencing (NGS) data analysis and visualization using both custom and open-source bioinformatics tools, with a focus on somatic whole-genome sequencing analyses and multi-omics data integration.
• Proficiency with core statistical methods and modern machine learning approaches appropriate for high-dimensional genomic data, with emphasis on biological interpretability.
• Strong experience working with genomic databases such as TCGA, dbGaP, gnomAD, cBioPortal, ENCODE, 1000 Genomes, All of Us, GTEx, ICGC, PCAWG, and UK Biobank.
• Extensive proficiency in scripting and programming languages including Bash, R, and Python, with experience in RStudio, Jupyter Notebooks, and code management on GitHub.
• Significant experience with high-performance computing (HPC) environments and job scheduling systems such as SLURM.
• Proven experience preparing high-impact research manuscripts for peer-reviewed publications.
• To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status (e.g., H-1B visa status, etc.) .

• Minimum of five (5) years of postdoctoral or equivalent experience in academia or industry.
• Strong written, verbal, and presentation skills. Ability to work effectively in a multidisciplinary research environment and communicate technical findings clearly to non-specialist audiences.
• Biological expertise in lung cancer with the ability to lead and drive large-scale projects.
• Hands-on experience with advanced tumor genomic analyses such as driver gene identification, mutational signature deconvolution, copy number phasing, tumor purity, microsatellite instability detection, and telomere length estimation.
• Expertise in integrative multi-omic analyses, including genomics, transcriptomics, epigenomics, and emerging spatial/single-cell modalities.
• Strong understanding of algorithmic efficiency and experience working in HPC and cloud environments to analyze population-scale datasets.
• Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv), containerization with Docker/Singularity, and workflow management systems such as Snakemake or Nextflow.
• Proven ability to work both independently and collaboratively as part of a team.

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below.

Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States.

RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant.

Further, salary is merely one element to our offer.

At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.