TieTalent Is Hiring A Data Scientist III

The Marcus Institute for Aging Research is seeking a skilled Biomedical Researcher with expertise in statistical and quantitative modeling, particularly in genetics and genomics ('omics') data applications, to advance cutting-edge aging research.

About the Role

Join our team as a Biomedical Researcher responsible for managing and analyzing complex omics data, developing bioinformatics pipelines, and collaborating on scientific research projects aimed at understanding aging and related phenotypes.

Key Responsibilities

• Data Management & Analysis: Support imaging, cleaning, manipulating, and analyzing omics datasets (genomics, epigenomics, gene expression, proteomics, metabolomics, microbiome).
• Bioinformatics Pipeline Development: Design, implement, and maintain reusable workflows within high performance computing (HPC) environments; integrate computational methods using cloud platforms like AWS or Google Cloud.
• Data Visualization & Reporting: Create visual representations of data, conduct exploratory analyses, and develop reports to communicate findings clearly to colleagues and collaborators.
• Research Collaboration: Work within biomedical teams to design and execute studies, assist in publication efforts, and disseminate scientific findings.
• Algorithm Development & Statistical Analysis: Develop algorithms for analyzing various omics data and conduct statistical assessments for association studies and causal inference.
• Software Customization & Support: Tailor analysis software to meet research needs and provide data analytic support for ongoing and secondary data studies.
• Funding & Mentoring: Assist in developing grant applications and contribute to educating and mentoring clinical colleagues and junior staff.

Qualifications

• Education: Master’s degree in bioinformatics, biostatistics, epidemiology, genetics, systems biology, or related biomedical sciences.
• Experience: 2-4 years of professional experience in quantitative sciences, with a strong background in statistical modeling, bioinformatics, and genomics.
• Technical Skills: Expertise in statistical methods (regression, GLM, GAM, neural networks, etc.), genome-wide or epigenome-wide association analyses, and proficiency in programming languages such as R, Python, SAS, or Matlab.
• Computing: Experience working with high-performance computing systems, Linux/Unix environments, and cloud computing platforms such as AWS or Google Cloud preferred.
• Additional Skills: Ability to mentor, work independently and collaboratively, and possess excellent communication skills in English.

Nice-to-Have Skills

• Genomics and bioinformatics expertise
• Experience with HPC and cloud computing
• Neural networks and machine learning techniques
• Proficiency with AWS, Linux, Unix systems

Work Environment & Details

This is a full-time, on-site position in Boston, MA. The salary range is $119,000 to $169,000 based on experience.

Ideal Candidate Profile

• Passionate about biomedical science and omics research
• Capable of managing multiple projects with precision
• Dedicated to mentorship and collaborative research
• Committed to diversity and inclusivity in the workplace

Additional Information

Hebrew SeniorLife is an equal opportunity employer. We value diversity and strive to create an inclusive environment for all employees. Remote work options are on-site; knowledge of additional languages such as Hebrew is a plus.

Relevant Experience & Skills

• Biomedical Engineer
• Data Analyst
• Data Scientist

Languages

• English

Nice-to-Have Skills

• Genomics
• Bioinformatics
• High Performance Computing
• Cloud Computing
• Neural Networks
• R, Python, SAS, Matlab
• AWS, Linux, Unix