Convergent Research
Computational Biologist / Bioinformatician - Single Cell
Convergent Research - Watertown, Massachusetts, us, 02472
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Overview
Computational Biologist / Bioinformatician - Single Cell
Join to apply for the
Computational Biologist / Bioinformatician - Single Cell
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Convergent Research Computational Biologist / Bioinformatician - Single Cell
Join to apply for the
Computational Biologist / Bioinformatician - Single Cell
role at
Convergent Research Get AI-powered advice on this job and more exclusive features. Parallel Squared Technology Institute
(PTI) is a non-profit research institute aiming to catalyze a leap in protein analysis technology and use it to explore new biological frontiers. PTI supports open research and educational opportunities supporting rapid career development for scientists, engineers, and mathematicians.
Why?
Protein dysfunctions directly cause many diseases, such as Alzheimer’s disease. Yet, proteins remain understudied because of technological hurdles.
How?
To resolve these limitations, PTI will develop mass tags enabling a new framework for multiplexed protein analysis by mass spectrometry towards achieving 100-fold increase in throughput. Scientists at and collaborating with the institute will use these gains to directly investigate disease mechanisms and resolve problems that have proven intractable for decades. Our proof of principle technology and strategies are outlined at: parallelsq.org .
New career opportunities
Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
Summary Of Position
We are looking for an individual contributor with previous experience in ‘omics data interpretation, who will lead the design and development of new computational analysis pipelines. This position will involve analyses of mass spectrometry proteomics data in order to infer biological mechanisms at play in either the Alzheimer’s Disease or Immuno-Proteome Aging projects at PTI. The successful candidate will work in a highly interdisciplinary team environment with other scientists.
In order to be seriously considered for this position, we require a cover letter as part of the candidate’s application.
Responsibilities
Design and develop optimized analysis pipelines for large ‘omics datasets. Perform deep and detailed analyses for data-intensive experiments with team members and communicate interpretable results. Hands-on development of interactive tools for data interpretation of high throughput proteomics datasets for other team members using RShiny, Python, D3, or other tools. Assist team members in searching and interpreting proteomics raw data. Update different software tools for team members as needed. Curate large-scale datasets for internal and external usage. Mentor scientists and research associates. Prepare internal reports and manuscripts as well as present results at internal or external scientific meetings as appropriate. Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. Other duties as assigned.
Qualifications
Master’s with at least 5 years of relevant experience, or PhD in Computational Biology, Bioinformatics, or related field. Experience in large-scale analyses that involve many samples, such as thousands of single cells or bulk tissues. Proficiency in analyzing and visualizing datasets with Python and/or R as well as the command line. Proficiency in good practices for reproducible research using tools such as git, Jupyter notebooks, etc. Highly organized with strong analytical and coding skills. Experience with cloud environments such as AWS or Google Cloud.
Preferred Qualifications
Experience with mass spectrometry proteomics. Experience in designing, developing, and maintaining bioinformatic pipelines for single cell and bulk ‘omics data. Experience using packages such as Seurat, bioconductor, DESeq2, ComBat, Scanpy, LIGER, and/or other. Experience integrating multiomics data.
We Offer
An opportunity to change the world and work with some of the smartest and the most talented experts from different fields. Tuition reimbursement. Excellent medical, dental, and vision insurance through a PPO plan; parental leave; wellness allowance. Generous time off + paid holidays.
We aim to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination yet is not rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.
We are an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable local, state, or federal law or company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Non-profit Organizations Referrals increase your chances of interviewing at Convergent Research by 2x Get notified about new Computational Biologist jobs in
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Join to apply for the
Computational Biologist / Bioinformatician - Single Cell
role at
Convergent Research Computational Biologist / Bioinformatician - Single Cell
Join to apply for the
Computational Biologist / Bioinformatician - Single Cell
role at
Convergent Research Get AI-powered advice on this job and more exclusive features. Parallel Squared Technology Institute
(PTI) is a non-profit research institute aiming to catalyze a leap in protein analysis technology and use it to explore new biological frontiers. PTI supports open research and educational opportunities supporting rapid career development for scientists, engineers, and mathematicians.
Why?
Protein dysfunctions directly cause many diseases, such as Alzheimer’s disease. Yet, proteins remain understudied because of technological hurdles.
How?
To resolve these limitations, PTI will develop mass tags enabling a new framework for multiplexed protein analysis by mass spectrometry towards achieving 100-fold increase in throughput. Scientists at and collaborating with the institute will use these gains to directly investigate disease mechanisms and resolve problems that have proven intractable for decades. Our proof of principle technology and strategies are outlined at: parallelsq.org .
New career opportunities
Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
Summary Of Position
We are looking for an individual contributor with previous experience in ‘omics data interpretation, who will lead the design and development of new computational analysis pipelines. This position will involve analyses of mass spectrometry proteomics data in order to infer biological mechanisms at play in either the Alzheimer’s Disease or Immuno-Proteome Aging projects at PTI. The successful candidate will work in a highly interdisciplinary team environment with other scientists.
In order to be seriously considered for this position, we require a cover letter as part of the candidate’s application.
Responsibilities
Design and develop optimized analysis pipelines for large ‘omics datasets. Perform deep and detailed analyses for data-intensive experiments with team members and communicate interpretable results. Hands-on development of interactive tools for data interpretation of high throughput proteomics datasets for other team members using RShiny, Python, D3, or other tools. Assist team members in searching and interpreting proteomics raw data. Update different software tools for team members as needed. Curate large-scale datasets for internal and external usage. Mentor scientists and research associates. Prepare internal reports and manuscripts as well as present results at internal or external scientific meetings as appropriate. Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. Other duties as assigned.
Qualifications
Master’s with at least 5 years of relevant experience, or PhD in Computational Biology, Bioinformatics, or related field. Experience in large-scale analyses that involve many samples, such as thousands of single cells or bulk tissues. Proficiency in analyzing and visualizing datasets with Python and/or R as well as the command line. Proficiency in good practices for reproducible research using tools such as git, Jupyter notebooks, etc. Highly organized with strong analytical and coding skills. Experience with cloud environments such as AWS or Google Cloud.
Preferred Qualifications
Experience with mass spectrometry proteomics. Experience in designing, developing, and maintaining bioinformatic pipelines for single cell and bulk ‘omics data. Experience using packages such as Seurat, bioconductor, DESeq2, ComBat, Scanpy, LIGER, and/or other. Experience integrating multiomics data.
We Offer
An opportunity to change the world and work with some of the smartest and the most talented experts from different fields. Tuition reimbursement. Excellent medical, dental, and vision insurance through a PPO plan; parental leave; wellness allowance. Generous time off + paid holidays.
We aim to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination yet is not rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.
We are an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable local, state, or federal law or company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Non-profit Organizations Referrals increase your chances of interviewing at Convergent Research by 2x Get notified about new Computational Biologist jobs in
Watertown, MA . Cambridge, MA $120,000.00-$180,000.00 15 hours ago Part-Time Lecturer, Bioinformatics (Boston)
Computational Biologist (Scientist/ Senior Scientist)
Cambridge, MA $130,000.00-$170,000.00 3 weeks ago Computational Scientist II - Vallabh/Minikel Lab
Senior/Principal Scientist, RNAi bioinformatics
Computational Genomics Research Scientist (Method Development)
Senior Principal Computational Biologist
Cambridge, MA $135,100.00-$225,100.00 1 day ago Senior Bioinformatics Scientist - Multi-Omics
Clinical / Scientific - Bioinformatics NGS Data Analyst
Principal Scientist, Neuroscience, Immunology, and CV (NIC) Translational Informatics and Predictive Sciences
BIOINFORMATICS ANALYST II, School of Medicine, Computational Biomedicine
Senior Manager, Bioinformatics, East Region
Bioinformatics and Machine Learning Intern
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr