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Manager Bioinformatics Jobs in Massachusetts (NOW HIRING)

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

Must have strong experience in bioinformatics, including pipeline execution and workflow management - Key Responsibilities : - Develop, deploy, and manage AI/ML models and frameworks - Execute and ...

Novartis

Bioinformatics / Omics Data Expert

Cambridge, MA · Hybrid

$103K - $192K/yr

Contribute to reference dataset lifecycle management, including documentation, versioning, and ... Degree in bioinformatics, computational biology, data science, computer science, or a related field ...

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Manager Bioinformatics information

What is the difference between Manager Bioinformatics vs Bioinformatics Scientist?

AspectManager BioinformaticsBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; leadership experienceMaster's or PhD in Bioinformatics, Computational Biology, or related field
Work EnvironmentTeam leadership, project management, cross-department collaborationData analysis, algorithm development, research-focused
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, academia, biotech companies
Common Search & ComparisonYesYes

The main difference between a Manager Bioinformatics and a Bioinformatics Scientist lies in their roles. Managers oversee teams, coordinate projects, and handle leadership responsibilities, while Bioinformatics Scientists focus on data analysis, developing algorithms, and conducting research. Both roles require strong technical skills, but the Manager Bioinformatics position emphasizes leadership and project management within the bioinformatics field.

What are the most commonly searched types of Bioinformatics jobs in Massachusetts?

The most popular types of Bioinformatics jobs in Massachusetts are:

Manager Bioinformatics jobs near you

Senior Bioinformatics Research

Harvard University

Cambridge, MA • On-site

Full-time

Re-posted 10 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

81st of 620 rated colleges and universities

Job description

Position
Details
Title
Senior Bioinformatics Research
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.
Special Instructions
Contact Information
Claire Yanhui Hu
Contact Email
claire_hu@genetics.med.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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