Bioinformatics Specialist
: Job Details :

Are you interested in using genomics to leverage open science in the fight against dementia? Then we have the job for you!

If interested, please proceed with the application process through linked in and/or please email ...@datatecnica.com.

DataTecnica (DT) invites applications for this currently open position at the new Center for Alzheimer's and Related Dementias (CARD) at the National Institutes of Health. We facilitate growth for the research portfolios of numerous global initiatives in neurodegenerative disease space, with a focus on Alzheimer's and related dementias.

This position would support bioinformatics and imaging efforts focused on integrating large-scale multi-modal data types in various research applications – namely bulk transcriptomics analysis with some spatial-omics and proteomics. The main responsibilities for this position include collaborating on the development, implementation, execution, and maintenance of common research pipelines as well as helping biology focused collaborators interpret analysis results. This will also include generating plots, tables and figures plus presenting analysis updates to colleagues regularly. There are also some opportunities to contribute to larger collaborative and creative research projects. For specific details, please see below.

Qualifications:

• MS or PhD in bioinformatics, molecular biology, neuroscience or similar field
• BS possible with exceptional experience
• Understanding of molecular biology including cell components / organelles and omics
• Experience with bulk RNA seq and proteomics data
• Basic analytics techniques / statistics
• Familiarity with statistical conventions and data visualization of such datasets
• Interpreting, writing and designing custom analyses for complex data
• Familiarity with distributed, parallel HPC and/or cloud computing (NIH Biowulf and google cloud ideal)
• Comfortable working with large datasets (simultaneous analysis of omics data for hundreds of samples)
• Biology background and interest in or willingness to learn about neurodegenerative disease cell biology
• Python and/or R proficiency
• Knowledge of sequencing technologies
• Able to troubleshoot and think critically
• Able to work independently
• Ability to work as part of a diverse team of scientists
• Strong communication skills to connect both pure biologists and data scientists

Scope of work:

• Develop and deploy data processing and QC pipelines at scale
• Make visualizations of data outputs for discussion and interpretation
• Management and sharing of public datasets
• Knowledge transfer to diverse group of teammates

Preferences:

• Local or willing to immediately relocate to the Washington DC Metro area
• Experience with the National Institutes of Health or similar federal research structure
• Ability to be on the NIH campus Tuesday to Thursday
• Experience with spatial omics technologies
• Experience with a variety of sequencing techniques, including but not limited to long read, ribo-seq, eCLIP, and multiomics integration



Additional notes:

This position will include opportunities to grow your bioinformatics and data science skills as well as publish high impact research in collaboration with NIH initiatives we support. As this is an NIH contract opportunity, a US work permit, citizenship or green card are required. Hybrid work scenarios with part time on the NIH campus is required (Washington DC metro area), with at least 3 days needed on NIH campus per week. This position is for long term support of ongoing and growing research portfolios, empowering candidates to grow with the team. Compensation is commensurate with experience, ranging generally from $80k-160k per year.

Interested candidates should submit their application, including CV, cover letter, code example (github) and emails of potential references (if available) to ...@datatecnica.com. All compensation and benefits are negotiable and in line with current glassdoor estimates, commensurate with experience. Review of applications will begin immediately.