
HMS - Postdoctoral Fellow in Genetcs
Cambridge, MAFellowshipPosted 2mo ago
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Job overview
Harvard University is hiring a HMS - Postdoctoral Fellow in Genetcs. The Perrimon Lab at Harvard Medical School is seeking a highly motivated postdoctoral trainee to join the Program of Genetics. This role involves designing and implementing bioinformatics analysis pipelines for omics data, applying computational and statistical approaches to uncover biological insights, and developing custom databases and web portals. The fellow will collaborate with lab members and a multidisciplinary team to advance functional genomics research.
Key focus areas include Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics, and proteomics data., Develop novel algorithms and integrated data visualization applications when existing software packages are not available or adequate., and Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery..
Successful candidates bring Doctoral Degree In Bioinformatics Or Biology. Important skills include Bioinformatics Analysis Pipelines, RNA-seq, Genomics, Proteomics, Novel Algorithms Development, and Integrated Data Visualization Applications. Preferred (not required): Oral Communication.
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Details
Title HMS - Postdoctoral Fellow in Genetcs
School Harvard Medical School
Department/Area Perrimon Lab
Position Description
We are seeking a highly motivated post-doc trainee to join Dr. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in the lab who are responsible of design and generating such datasets. In addition, this position involves working with DRSC /TRiP functional genomics core, a multi-disciplinary team of biologists, software engineers and bioinformaticians as we develop and leverage technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg. genomics, transcriptomics, proteomics, metabolomics, and related datasets. 3.) Help develop custom databases, web portals and pipelines for managing raw and processed experimental data as well as reagent identification/designs. 4.) Collaborate closely with Investigator and lab members on research projects including defining the scope of the collaboration, researching the scientific topics and implementing the appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams. 5.) Properly document the procedures used in computational analysis, provide the summary reports of results, and contribute to grant and manuscript writing.
Salary and Benefits
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data. Strong background in programming, algorithms and statistics. Familiarity with programming techniques for analyzing data sets and experience working with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and familiarity with scripting languages (bash, Perl). Knowledge of Unix operating system, terminal and bash is a plus. Experience using a compute cluster. Excellent information management skills.
Additional Qualifications
Experience using relational databases, SQL and / or structured data formats. Web programming experience ( PHP , Django, JavaScript, JQuery, JSON , REST API ) is a plus. Excellent oral and written communication skills as well as the ability to collaborate effectively with a diverse team.
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
Claire Yanhui Hu
Contact Email [email protected]
Salary Range
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required 3
Maximum Number of References Allowed 3
Keywords
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1678254.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1674140.pdf) . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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