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Data Scientist I Roslindale 24 hours

Hebrew SeniorLife
Roslindale, USA
Part-time
Junior · 2+ years experience
Hybrid
Discovered 5 days ago
awsgcplinuxmatlabpythonsql

Full Job Posting

Requirements

  • Requires familiarity with statistical analysis, software development, visualization, algorithm development, supervised and unsupervised learning, and predictive analytics.
  • Advanced skills in data management, manipulation, and summarization are critical, particularly for harmonizing DNA methylation and other omics datasets across multiple cohorts into standardized, reproducible analytic platforms.
  • Skills in natural language processing and emerging AI-assisted data harmonization tools are a plus.
  • Existing, or ability to develop, comfort with rigorous version control and the principles of reproducible research are required.
  • The ability to work in a team-based research environment is essential.
  • II. Core Competencies:
  • Ability to manage, manipulate and clean complex multi-omic data structures, including DNA methylation and other aging biomarker datasets drawn from multiple independent cohorts.
  • Ability to conduct statistical, machine learning and predictive analyses including benchmarking and validation of aging biomarkers such as epigenetic clocks.
  • Ability to formulate research questions and testable hypotheses in aging biology, and to design analyses that address them.
  • Ability to write and publish peer-reviewed scientific manuscripts from analysis to submission and revision.
  • Ability to organize analytic tasks and documentation files in a rigorous and reproducible fashion.
  • Ability to develop exploratory analyses and analytic summaries in visual and written form.
  • Ability to speak and present in English to communicate scientific results.
  • Ability to work collaboratively within multidisciplinary teams (scientific, IT and research operations), spanning fields such as geriatrics, genomics, and computational methods relevant to aging research.
  • III.
  • Requires a doctoral degree in a quantitative biomedical science field such as bioinformatics, biostatistics, quantitative epidemiology, computational neuroscience, statistical genetics, econometrics, systems biology, or data science, with at least 2 years of experience as a professional quantitative scientist (postdoctoral research training in a related quantitative field will satisfy this requirement). Experience equivalent to academic training may be substituted in relevant cases. Additional experience relevant to specific projects may be required.
  • Knowledge of statistical and quantitative modeling (regression / GLM / GAM, simulation, cluster analysis, neural networks, decision trees, bagging, boosting, dynamical systems modeling, etc.); demonstrated proficiency in R and/or Python for large-scale DNA methylation and other omics data processing.
  • Experience developing and maintaining harmonized, multi-dataset analytic platforms, and benchmarking or validating aging biomarkers across cohorts, is highly valued.
  • Experience contributing to team leadership in quantitative analysis or machine learning is helpful. Specialized training and experience in more than one quantitative programming language (R/Python/Matlab) is essential.
  • The ability to acquire new knowledge and skills to be able to perform analytical tasks using newly developed statistical methods/tools is of utmost importance.
  • Applicants should have the ability to work simultaneously on multiple projects with strict attention to detail, ability to work independently as well as part of a team, a sustained record of peer-reviewed publication, including first-author work, as well as strong oral and written English language skills.
  • On file with Occupational Health
  • Hybrid
  • $67,133.00 - $100,699.00

Responsibilities

  • Provide data management, manipulation, cleaning, and analysis support for biomedical aging research projects, including the validation and benchmarking of epigenetic clocks and other aging biomarkers across harmonized, multi-dataset resources.
  • Contribute to study design, including selection of cohorts, outcomes, and validation strategies.
  • Participate as a team member in development of algorithms and software tools, including data harmonization pipelines and exploration of AI-agent and foundation-model methods, facilitating scientific productivity and project completion.
  • Generate analysis pipelines and automated functions for repetitive summaries and analyses.
  • Develop and present reports of analytic findings. Lead or co-lead the development of abstracts and manuscripts, contribute to funding applications, and present findings internally and at scientific meetings.
  • Maintain current knowledge of the geroscience and biomarker literature and propose new analyses or research directions to the Investigators.
  • IV.

Qualifications

  • Experience with database technologies (SQL, REDCap) is helpful. Familiarity with emerging AI-agent-based and foundation-model approaches to biomedical data harmonization is a plus.
  • Experience with web services and distributed computing tools is preferred.
  • Experience using high performance computing systems running Linux or UNIX OS and experience with cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are a plus.
  • A passion for work in biomedical science and hands-on experience in aging and geroscience research, including epigenetic clocks or multi-omic aging biomarkers, are strongly preferred.
  • V. Physical Requirements:
  • Remote Type:
  • Salary Range:

Preferred Qualifications

  • Skills in natural language processing and emerging AI-assisted data harmonization tools are a plus.
  • Experience with database technologies (SQL, REDCap) is helpful. Familiarity with emerging AI-agent-based and foundation-model approaches to biomedical data harmonization is a plus.
  • Experience with web services and distributed computing tools is preferred.
  • Experience using high performance computing systems running Linux or UNIX OS and experience with cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are a plus.
  • A passion for work in biomedical science and hands-on experience in aging and geroscience research, including epigenetic clocks or multi-omic aging biomarkers, are strongly preferred.

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