Remote Senior Data Scientist - Genomics

Placements24; George; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible hours

Remote work

Professional development budget

Health insurance

Job summary

Placements24 seeks a Senior Data Scientist with a genomics specialization to join a fully remote research team. You will analyze large genomic datasets and develop advanced models to uncover biological insights and assist therapy development.

Remote, async collaboration with a global team, strong communication skills, and a PhD or MS in a quantitative field are preferred. The role offers a competitive salary and generous professional development budget.

Qualifications

• Master's or PhD in a quantitative field (Bi bioinformatics, computational biology, data science, statistics)
• 4+ years of professional data science and bioinformatics experience with a genomics focus
• Proficiency in Python or R and libraries (SciPy, NumPy, Pandas, Scikit-learn)
• Strong statistical genetics, population genetics, and ML knowledge
• Experience with bioinformatics databases/tools like GATK, PLINK, Ensembl, TCGA

Responsibilities

• Develop and implement advanced statistical and ML models for genomic data analysis.
• Process, clean, and analyze large-scale genomic datasets (sequencing, variants, expression).
• Design bioinformatics pipelines to identify genetic associations with diseases/traits.
• Collaborate remotely with scientists to interpret results and drive hypotheses.
• Build visualizations to communicate findings to diverse stakeholders.
• Stay updated on computational biology, genomics, and DS techniques.

Skills

Python

R

ML

Genomics

Statistics

Education

Master's or PhD in Bioinformatics/Computational Biology/Data Science

Tools

GATK

PLINK

Ensembl

TCGA

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist with a specialization in Genomics to join their fully remote research team. This position offers the unique opportunity to work on cutting-edge projects analyzing vast genomic datasets to uncover novel biological insights and drive therapeutic advancements. You will leverage advanced computational techniques and machine learning algorithms to extract meaningful patterns from complex biological data. The role requires a proactive individual who can work independently, contribute to a globally distributed team, and communicate complex findings effectively to both technical and non-technical audiences, all from the comfort of their own location.

Key Responsibilities

• Develop and implement advanced statistical and machine learning models for genomic data analysis .
• Process, clean, and analyze large-scale genomic datasets, including sequencing data, variant calls, and gene expression profiles.
• Design and conduct bioinformatics pipelines to identify genetic associations with diseases and traits.
• Collaborate remotely with bioinformaticians, biologists, and clinicians to interpret results and drive research hypotheses.
• Build data visualizations and dashboards to communicate complex findings to diverse stakeholders.
• Stay abreast of the latest advancements in computational biology, genomics, and data science techniques.

Requirements

• Master's or PhD in Bioinformatics, Computational Biology, Data Science, Statistics, or a related quantitative field.
• Minimum of 4 years of professional experience in data science and bioinformatics , with a focus on genomics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., SciPy, NumPy, Pandas, Scikit-learn).
• Strong understanding of statistical genetics, population genetics, and machine learning algorithms.
• Experience with bioinformatics tools and databases (e.g., GATK, PLINK, Ensembl, TCGA).
• Demonstrated ability to work effectively in a remote , asynchronous team environment.

Benefits

• Highly competitive salary and performance-based incentives.
• Fully remote work arrangement with flexible hours.
• Generous budget for professional development, online courses, and conference attendance.
• Comprehensive health, dental, and vision insurance plans.
• Opportunity to contribute to impactful research in genomics and personalized medicine .