Job Title: Data Scientist (3307655)
The Albers Lab is a research laboratory of the MassGeneral Institute for Neurodegenerative Disease (MIND) that develops and applies integrative computational methods in biomedical and brain research to develop new therapeutic strategies for neurodegenerative diseases. We are seeking a highly motivated, innovative, and independent Data Scientist to be part of our team. The successful candidate will work with a highly interdisciplinary team of computational, clinical, and bench researchers at the Mass General Hospital and Harvard Medical School providing bioinformatics support for translational projects. You will analyze both internal data (cellular and iPSC-derived neuron models of TDP43+ ALS and Alzheimer's disease and Related Dementias) and external datasets (MGH-ADRC, UK Biobank, NYGC, electronic health record data) to assess the human relevance of disease phenotypes and pharmacological rescue in our models. The Data Scientist will also interact with lab members emulating clinical trials in electronic health records using federated learning and with collaborators conducting molecular dynamic simulation for drug discovery. You will lead the standardization of bioinformatic pipelines and data management across teams. Scientific insights resulting from this research are expected to be presented at external scientific conferences and published in high-impact journals.
Principal Duties and Responsibilities:Establishing and standardizing bioinformatics pipelines relevant to translational projects.Analysis of genomic, transcriptomic (scRNA/bulk RNA), and proteomic internal and external data sets.Further develop DRIAD (Drug Repurposing in Alzheimer's Disease) platform by incorporating TDP43 driven cryptic exon detection/staging.Development of TRIALS (Therapeutic Repurposing in ALS) platform using machine learning to develop predictors of ALS disease progression.Provide support for federated learning efforts to emulate clinical trials using electronic health records from various regions.Prepare data packages for regulatory bodies, such as NIH and FDA.Build and process input datasets for machine-learning models.Write code using a collaborative version control system, ensuring proper documentation and reproducible workflows.Work closely with computational scientists, researchers, and physicians to design and perform analyses.Assist in preparing manuscripts, abstracts, and presentations for scientific meetings.Lead harmonization of data schema across different data ecosystems and manage data across groups.Skills/Abilities/Competencies Required:Independent, highly motivated, and collaborative, with the ability to work with multi-disciplinary teams.Enthusiastic about working in a drug discovery and development-centric scientific environment.Curious and quick learner, willing to explore new areas and build expertise.Strong programming skills in R and Python are required.Experience with statistical analysis and databases is strongly preferred.Experience in multi-omics datasets is required.Excellent organizational and communication skills.Ability to work independently and take initiative.Highly motivated and able to meet deadlines.Knowledge of neuroscience is desirable.Education:Bachelor's Degree required. PhD in Computer Science, Bioinformatics, or related quantitative discipline is required.
Experience:0-2 years of experience in data science projects is required.
Supervisory Responsibility:1 Bachelor's level Data Analyst.
Working Conditions:Work will be performed in a typical office setting with remote work as a possibility.
Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives, and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law.
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