Remote Senior Data Scientist - Bioinformatics

Placements24; Fresno (CA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Remote work stipend

Fully remote position

Professional development budget

Job summary

Placements24 is seeking a Remote Senior Data Scientist to join a cutting-edge Bioinformatics team. You will analyze large biological datasets, build predictive models, and extract insights to guide research decisions in a remote-first environment across time zones.

The role requires strong statistical and ML expertise, programming in Python or R, and collaboration with researchers worldwide to advance understanding of biological processes.

Qualifications

• PhD or Master’s in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• 6+ years of professional experience in data science with emphasis on bioinformatics or computational biology.
• Proficiency in Python or R and familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling and ML algorithms applied to biological data.

Responsibilities

• Design, develop, and deploy ML models for genomic, proteomic, and other biological datasets.
• Perform data mining, statistical analysis, and data visualization to identify patterns relevant to research goals.
• Collaborate with biologists and computational biologists to translate questions into data science problems.
• Build and maintain robust data pipelines and analytical frameworks for ongoing research.
• Communicate findings clearly to technical and non-technical audiences via reports and presentations.
• Stay current with advances in data science and bioinformatics and champion their adoption.

Skills

Statistical modeling

Machine learning algorithms

Data visualization

Communication

Remote collaboration

Bioinformatics domain knowledge

Education

PhD or Master’s in Bioinformatics/Computational Biology/Statistics/CS

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

BLAST

ENSEMBL

GATK

Job description

About the Role

Our client is seeking a highly motivated and experienced Remote Senior Data Scientist to join their cutting-edge Bioinformatics team. This is a fully remote position, offering the flexibility to work from anywhere within designated time zones. You will be at the forefront of analyzing complex biological datasets, developing predictive models, and extracting actionable insights to drive critical research decisions. The role requires a strong blend of statistical expertise, programming skills, and a deep understanding of biological systems. You will collaborate with researchers globally, contributing to significant advancements in understanding complex biological processes through data-driven approaches, operating within a remote-first culture that emphasizes collaboration and innovation.

Key Responsibilities

• Design, develop, and deploy sophisticated machine learning models and algorithms for analyzing large-scale genomic, proteomic, and other biological datasets.
• Perform data mining, statistical analysis, and data visualization to identify patterns, trends, and insights relevant to research objectives.
• Collaborate closely with biologists, geneticists, and computational biologists to understand research questions and translate them into data science problems.
• Build and maintain robust data pipelines and analytical frameworks to support ongoing research efforts.
• Communicate complex findings and methodologies clearly and effectively to both technical and non-technical audiences through reports and presentations.
• Stay current with the latest advancements in data science, machine learning, and bioinformatics, and champion their adoption where beneficial.

Requirements

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, with a significant focus on bioinformatics or computational biology.
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistical modeling, machine learning algorithms, and their application to biological data.
• Experience with bioinformatics databases and analysis tools (e.g., BLAST, ENSEMBL, GATK).
• Excellent communication and collaboration skills, with proven ability to work effectively in a distributed, remote team environment.

Benefits

• A highly competitive salary and remote work stipend.
• Fully remote work arrangement, offering maximum flexibility.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and professional development budget.
• Opportunity to work on impactful research projects with a global team and contribute to significant scientific breakthroughs.