Biostatistician Principal
Boston, MA - USA
Job Summary
Mass General Brigham relies on a wide range of professionals including doctors nurses business people tech experts researchers and systems analysts to advance our mission. As a not-for-profit we support patient care research teaching and community service striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
The Chai Laboratory seeks a doctoral-level Senior Computational Scientist to provide specialized intermittent computational leadership to an active portfolio of epigenomics and hematologic malignancy projects. This is a per diem appointment created to sustain continuity of a highly specialized analytical program during a defined interval and to carry several late-stage manuscripts through revision resubmission and publication.The laboratorys epigenomics program is built on a proprietary set of internally developed analysis with no commercial or off-the-shelf equivalent. The successful candidate will act as the technical maintainer of these frameworks and as computational co-investigator on the studies that depend on them.
As the appointment is intermittent part-time and tied to manuscripts already under review the candidate must be able to contribute productively from the first billed hour.
Qualifications
Education
Masters Degree Statistics required or Masters Degree Related Field of Study required
Can this role accept experience in lieu of a degree
Yes
Experience
- PhD in bioinformatics computational biology cancer genetics or a closely related discipline with a expertise in hematologic malignancy.
- Formal degree-level training in computer science or software engineering. The role requires maintenance and release engineering of production research software used outside this institution not scripting-level analysis alone.
- Formal training in diagnostic pathology or an equivalent wet-laboratory discipline with demonstrated independent bench capability. The role requires unsupervised interpretation of computational results against experimental design without an intermediary.
- Minimum seven (7) years of post-doctoral research experience in myeloid malignancy epigenetics.
- Demonstrated first senior or corresponding authorship of published publicly maintained NGS analysis pipelines that are in documented use by laboratories outside the authors own institution.
- Direct experience with methylation-domain discovery.
- Peer-reviewed publication record commensurate with senior scientific standing to include first-authorship and senior/corresponding authorship in journals of the highest impact tier and demonstrated productivity in hematology epigenetics and cancer metabolism.
- Existing academic appointment at the rank of Instructor or above.
- Immediate availability current U.S. work authorization. The intermittent per diem structure does not permit a training or onboarding period.
- Advanced proficiency in R Python and Unix/Linux shell environments and competence in HPC and cloud-based analysis at multi-terabyte scale.
Preferred
- Experience with leukemia models and with DNMT3A-mutant AML biology.
- In vivo hematopoiesis experience including conditional-knockout murine bone marrow handling experience.
- Peer-review service for scientific journals.
- University-level teaching experience and demonstrated ability to communicate technical results to non-specialist audiences.
Knowledge Skills and Abilities
Key Responsibilities:
- Serve as lead computational scientist and technical owner of the laboratorys DNA methylation regulatory-element program.
- Maintain extend debug and version the laboratorys published analysis pipelines.
- Analyze and integrate multi-omic datasets: WGBS/RRBS ChIP-seq CUT&RUN ATAC-seq RNA-seq RIP-seq single-cell RNA-seq and CITE-seq and long-read sequencing.
- Provide statistical genetics support including rare-variant burden analysis across germline datasets and pathway-level aggregation strategies.
- Respond to peer-review critique on manuscripts currently in press or under revision regenerating analyses and publication-quality figures to journal-imposed revision deadlines.
- Advise and train junior computational staff graduate students and wet-lab scientists in the use of the above frameworks.
- Contribute analytical sections preliminary data and data-management plans to federal and foundation grant applications.
Additional Job Details (if applicable)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$56.59 - $82.31/HourlyGrade
8EEO Statement:
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Required Experience:
IC
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.