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Penn Foster
Cambridge, MA, United States
Scismic is supporting the growth of a Cambridge, MA biotech startup that is pioneering mRNA-modulating therapies to cure a broad range of genetic diseases. Job Description We are seeking a computational biologist with an innovative mindset, keen attention to detail, and the ability to work as part of a team to solve problems in preclinical research
Job Source: Penn FosterFoundation Medicine
Boston, MA, United States
About the Job The Senior Scientist, Computational Biology on the Computational Biology team provides computational, bioinformatic, and statistical expertise and leadership to enrich the analytical capabilities of existing products, as well as to design and build lab protocols and computational analyses for new products. Key Responsibilities Work
Job Source: Foundation MedicineSana Biotechnology
Cambridge, MA, United States
About the role The Senior Scientist, Computational Biologist will work closely with scientists and other computational biologists to analyze NGS genomics data and develop bioinformatics methods to solve exciting and challenging problems in cell and gene therapy, immunology, and stem cell biology. You will develop workflows from raw sequencing data
Job Source: Sana BiotechnologyFlagship Pioneering, Inc.
Cambridge, MA, United States
What if... you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability? Flagship Pioneering's venture creation engine has conceived and created companies such as Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY),
Job Source: Flagship Pioneering, Inc.Foundation Medicine
Boston, MA, United States
About the Job The Principal Scientist, Computational Biology leads the development and deployment of computational methods for NGS-based clinical diagnostic assays in our clinical labs. Working as part of a large multidisciplinary team, this role distills the latest advances in computational methods, genomics, and oncology to develop innovative, b
Job Source: Foundation MedicineFoundation Medicine, Inc.
Boston, MA, United States
Job Description About the Job The Scientist II, Computational Biology will work as part of a new product team, focused on improving blood-based cancer diagnostic capabilities in areas such as cancer detection, minimum residual disease, and other related applications. This team is comprised of talent from across the Roche ecosystem, including Roch
Job Source: Foundation Medicine, Inc.PSG Global Solutions
Cambridge, MA, United States
Description We're looking for a Computational Biology Associate Scientist , working in Biotechnology/Medical Devices industry in Cambridge . Performs high quality DNA and RNA sequencing data generation in a timely fashion to support all R/D programs that need to take NGS approach to address biological and medical questions. Contributes to an
Job Source: PSG Global SolutionsFoundation Medicine
Boston, MA, United States
About the Job The Scientist II, Computational Biology on the Computational Biology Team provides computational, bioinformatic and statistical activities to enrich the analytical capabilities of existing products as medical knowledge advances, as well as to design and build lab protocols and computational analyses for new products. Key Responsibil
Job Source: Foundation MedicineCambridge, MA, United States
Scientist, Computational Biology and Genomics
Arena BioWorks, located in Cambridge, MA, is a new biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The institute's private funding model allows Arena to advance novel therapeutics by forming and supporting biotech companies up to early clinical or Series B stage.
As a computational biologist working in the AI/ML, Data Science, and Data Engineering team in close collaboration with the Disease Models and Mechanisms team, you will focus on analyzing the results of advanced CRISPR-based screening approaches with a goal of deciphering biological functions of genes in the context of disease through mechanistic investigation into gene function and regulatory networks. You will work closely with the Disease Models and Mechanisms team to analyze the results of integrative high-throughput disease-relevant functional assays to identify therapeutic targets and assess physiologically relevant target engagement. You will be expected to develop and apply new computational and statistical methods to analyze and interpret data from functional genomics and other types of high-throughput screens. The successful analysis and interpretation of functional genomics experiments will have broad applications in biomedical research and in the development of novel therapeutics for human diseases.
The qualifying candidate is expected to thrive in a multidisciplinary and highly collaborative environment. The desired candidate is enthusiastic about developing and implementing analysis tools for high-throughput platforms with a goal of addressing outstanding biological questions and generating meaningful insights into human disease. They also strongly value collaborating with scientists across teams and scientific areas and enjoy continuously learning from the expertise of their peers and colleagues.
Responsibilities:
Investigate, evaluate, create, and implement data-analysis approaches for high-throughput screening applications including CRISPR screening platforms employing high-dimensional functional assays such as perturb-seq, high-content cell imaging, flow cytometry, single-cell omics, and other technologies.
Identify and develop computational strategies to design custom sgRNA libraries for new types of CRISPR modalities.
Analyze genomics data (e.g., single-cell and bulk RNA-seq, ATAC-seq, multiomics) using a scientific programming language such as R, Matlab/Octave, or Python.
Work closely with a wide range of laboratory members, including assisting with and providing input on experimental study design to ensure compatibility with computational analysis and statistical considerations.
Consult with scientists across teams to identify appropriate analysis strategies.
Train and enable bench scientists to analyze and evaluate results of their high-throughput analyses when appropriate.
Document code and communicate findings to cross-functional scientific teams and to the broader scientific community through written data reports, publications, and internal and external research presentations.
Qualifications:
Degree in biological science, computational science, or related field with a demonstrated record of productivity; Ph.D. or M.S. preferred but equivalent experience levels considered.
3+ years of experience in a research-related field.
Working knowledge in CRISPR genome editing and functional genomics including large-scale CRISPR screens.
Thorough understanding of statistical methods for analyzing high-dimensional data.
Experience analyzing genomics and high-content screening data using a high-level programming language.
Interest in learning and troubleshooting new computational methods.
Experience using platforms for reproducible data analysis and collaboration, e.g., GitHub.
Ability to work independently and as a team member, including to supervise and train junior associates.
Strong interpersonal and communication skills.
Demonstrated ability to collaborate across organizational and functional boundaries.
Excellent analytical and critical thinking skills, both scientifically and in the ability to prioritize tasks, set deadlines, and adapt to shifting priorities.
Familiarity with electronic laboratory notebooks (ELN) and laboratory information-management systems (LIMS).
Strong written and verbal communication skills demonstrated by publication of research papers and presentations.
Benefits:
Competitive salary and benefits package.
Opportunity to work on innovative scientific projects.
Collaborative and supportive work environment.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Email Alert for Scientist, Computational Biology jobs in Cambridge, MA, United States
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