Top 11 Msc medical science computing Jobs

Spatial - Single Cell Omics Bioinformatician
BIDMC - Harvard Medical School - Broad Institute of MIT and Harvard —Boston, MA
- $50,000 - $100,000 a year
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- Computer Science
- Bachelor of Science
- No experience needed
- Health savings account
- Health insurance
Quick Apply
Lead QC Scientist, HGCTF - Dean's Office
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Senior AI Algorithm Engineer in oneDNN
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Quant Trader- E- Trading Municipal Bonds - Director
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Engineering - SDLC Engineering - Ephemeral Environments - Software Engineer - Vice President - Salt Lake City
Goldman Sachs —Salt Lake City, UT
- Computer science
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- Bachelor of Science
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HPC Middleware Developer
NVIDIA —Santa Clara, CA
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Spatial - Single Cell Omics Bioinformatician

BIDMC - Harvard Medical School - Broad Institute of MIT and Harvard
Boston, MA

Quick Apply

Job Details

Full-time
$50,000 - $100,000 a year

Benefits

Health savings account
Health insurance
Dental insurance
401(k)
Flexible spending account
Paid time off
Parental leave
Vision insurance
401(k) matching
Life insurance
Retirement plan

Qualifications

AI models
GPU programming
Computational research
Software coding
High-performance computing clusters
R
DNA sequencing
Programming languages
Machine intelligence
Bachelor's degree
Linux
Machine learning (ML) fundamentals
AI
Bioconductor
Bioinformatics data analysis
Python
Statistical analysis tools

Full Job Description

The Spatial Technologies Unit (STU / www.spatialtechnology.org), Beth Israel Deaconess Medical Center / Harvard Medical School Initiative for RNA Medicine / Harvard Cancer Center, is seeking a Spatial - Single Cell Omics Bioinformatician

The Bioinformatician will have the ability to train and work on some of the largest and most exciting single cell and spatial tissue profiling datasets, as well as on novel technologies or assays that are not elsewhere available.

We have 2 positions open for entry level or experienced professionals. For the entry level position no prior experience in spatial assays is required.

For both positions experience in working with NGS data and especially in single cell assays is considered as a prerequisite.

Spatial Technologies, including Spatial Transcriptomics and Proteomics, were deemed “Method of the Year 2020” by Nature Methods Journal and are currently revolutionizing biomedical research. The Spatial Technologies Unit is a reference center for the provision and advancement of single cell and spatial tissue profiling, and a focal point for Spatial Technologies research and development in the Commonwealth of Massachusetts and across the United States. It hosts a comprehensive collection of leading spatial and single cell technologies from10x Genomics (Visium, Xenium, Connect, X), Bruker/NanoString (GeoMx), Akoya (PhenoImager, PhenoCycler Fusion), Vizgen (MERSCOPE), Singular Genomics G4X, and Illumina Spatial Technology.

Its unparalleled technological infrastructure, its location within the Harvard Medical School Ecosystem, and its translational role in a leading medical center provides exceptional opportunities for cutting-edge research and applications.

The STU provides exceptional opportunities for growth and the ability to become a leader in the exciting field of single cell and spatial tissue profiling.

For more information on the STU, abilities, and mission, please visit http://www.spatialtechnology.org.

Job Description:

You will have an exceptional opportunity to join our highly-skilled team as a Spatia - Single Cell Omics Bioinformatician I or II, in an exceptional environment for scientific growth. In this role, the successful candidate will be responsible for the analysis of single cell / spatial tissue profiling assays from large datasets generated in the Spatial Technologies Unit, collaborate with the experimentalists and the STU leadership, as well as provide cutting-edge analyses to the supported research projects.

There will be numerous opportunities for leadership in the field, connection with the community, and collaborations with national and international consortia, biotech, and industry.

The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods).

Essential Responsibilities:

Essential Skills

· Extensive experience in handling and analyzing Next Generation Sequencing data

·BSc / MSc in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) (for Bioinformatician I) and PhD in a relevant subject area for Bioinformatician II or more senior positions

· Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics)

· Experience in bioinformatics/data analysis using R/Bioconductor and Python

· Experience in linux-based environments and high-performance computing

- Experience in AI/ML model development and use as well as in GPU-based analyses

· Great programming skills

· Effective science communication

Ideal Skills

· Single cell and/or spatial -omics data analysis experience

- Good communication skills

- For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions.

Job Type: Full-time

As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment. Learn more about this requirement.

More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.

Equal Opportunity Employer/Veterans/Disabled

Job Type: Full-time

Pay: $50,000.00 - $100,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Experience:

NGS Data Analysis: 2 years (Preferred)
Working in Linux Environment: 2 years (Preferred)
Single Cell Data Analysis: 1 year (Preferred)
AI/ML Method Use/Development: 1 year (Preferred)

Work Location: In person

Quick Apply

Refine Your Search

msc medical science computing jobs

Spatial - Single Cell Omics Bioinformatician

Lead QC Scientist, HGCTF - Dean's Office

DevOps Engineer, Level 4

Silicon Photonic (SiPh) Test Engineer - Engineer Test Engineering.

Principal Applied Scientist, Amazon Payments

Senior AI Software Architect - Runtime

Senior AI Algorithm Engineer in oneDNN

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Engineering - SDLC Engineering - Ephemeral Environments - Software Engineer - Vice President - Salt Lake City

HPC Middleware Developer

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