Remote Senior Data Scientist - Bioinformatics

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.