Here are some sample job advertisements for this type of role…
Computational Biologist
Exciting Life Sciences AI company thats aim is to digitize, decode and decipher human biology to prevent and reverse chronic diseases, cancer, and aging. We apply systems biology and advanced microbiology to deeply understand the origin and progression of disease using gene expression (mRNA) analysis with a state-of-the-art AI and machine learning platform. Our tests and clinical studies measure host/microbe gene expression, using which we discover disease biomarkers. Our consumer business uses these data analyses, and with insights from modern medical science our AI recommends a nutrition and lifestyle plan personalized for you. Our health science business also uses the biomarkers to develop predictive, diagnostic, and therapeutic solutions for a range of diseases, especially cancer, metabolic, and neurological diseases. Their rich data sources are unmatched in their depth and ability to provide insights. Our small interdisciplinary team is passionate about transforming the life science industry for the 21st century.
We are seeking a computational biologist that has expertise in biomedical sciences, ideally with a computational mindset, that is passionate about research pertaining to human genes and the microbiome. You will work in the biomedical research team which is responsible for the early clinical development of novel diagnostic and/or therapeutic programs from human studies to clinical proof-of-concept testing. Joining a multi-disciplinary team of data scientists and machine learning engineers, systems and computational biology scientists, as well as clinical experts, you will analyze our unique biological dataset with their phenotype metadata to discover biomarkers, demonstrate the effect of treatments, and participate in real world health science applications.
Responsibilities:
- Apply computational and other data analysis techniques to explore biological hypotheses from large multi-omics heterogeneous datasets
- Contribute to team effort in computational NGS analysis including transcriptomics, genomics and metatranscriptomics data analysis; including identifying fit-for-purpose tools and pipelines, implementing or/and working to streamline the workflow in suitable computing environment
- Contribute to the development of innovative data integration pipelines to:
- Act as a bridge between clinical, laboratory and computational teams to clarify and define the pathobiological pathways to answer questions impactful for projects
- Provide bioinformatics support to ensure data quality and usability.
- Maintain expertise in state-of-the-art data science and computational genomics methods
Skills and Qualifications:
- MS/PhD in statistical genetics, bioinformatics, computational biology, or related field
- 5+ years of work experience in computational biology
- Extensive training/ experience in biological, computational and statistical sciences to analyze large-scale genetic datasets as well as leverage genomics and transcriptomic data to generate causal disease gene hypotheses
- Experience applying sophisticated Systems Biology data analysis and actionable techniques to large datasets with various types of omics data
- Proven track record and understanding of human genetics in complex disorders areas such as neurodegeneration, immuno-inflammation, cancer, metabolic disorders to identify potential biomarkers or therapeutic targets
- Experience with integration of data from large human genetic datasets, including Differential Gene Expression (DGE), as well as data derived from various publicly available platforms (e.g. ENCODE, GTEx, TCGA)
- Ability to apply new tools for the integrative analysis and visualization of multi-dimensional genomics datasets
- Ability to work on high-performance computing system and manage cloud computing environments (e.g. AWS)
- Expertise in computational tools and pipelines for data analysis of NGS data, including RNA-sequencing (WES and WGS are a plus)
- Strong understanding of clinical/pathobiology functional readouts in complex disorders for identifying translatable targets based on human genetics
- Familiarity with pathway databases and scientific/medical ontologies with ability to navigate complex concepts
- Familiarity with nutritional science related to the gut microbiome and health/disease is a plus
Senior Principal Computational Biologist
Pfizer’s Rare Disease Research Unit (RDRU) is dedicated to the development of novel therapeutics for orphan diseases. As a member of our Integrative Biology team located in Cambridge, Massachusetts, you will lead efforts to design, execute, and communicate computational analyses combining public and proprietary multi-omics datasets. You will work both independently and in teams with laboratory biologists, computational biologists, geneticists, and statisticians within the RDRU and across the broader Pfizer community in a friendly and highly collaborative environment to deliver impactful and actionable insights. You will be challenged to apply your scientific expertise, critical thinking, and creativity both to advance our existing drug portfolio and to identify novel target opportunities. A successful candidate will also be a highly motivated learner who is looking to grow as a scientist and as a leader.
ROLE RESPONSIBILITIES
- Design, execute, document, and communicate integrative multi-omics data analyses
- Apply principles of sound statistical design and develop novel methods when appropriate
- Stay current with relevant biological and computational literature, conference proceedings, and emerging methodologies
- Manage, develop, and maintain internal and external collaborative projects to specified timelines and milestones
- Synthesize and clearly communicate study findings and analyses to a diverse audience of internal partners, leadership, and collaborators
- Manage, support, and promote relationships with the external community that can add value to target selection and validation for the RDRU
BASIC QUALIFICATIONS
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
- Background in biological and/or quantitative sciences; PhD in a biology, cellular/molecular biology, computational biology, data sciences, or a related field with 5+ years of relevant experience, preferably in a pharma or biotech environment
- Sound statistical and quantitative skills with an understanding of the methods implemented by commonly used ‘omics data analysis packages
- Fluency in start-to-end analysis of multiple types of ‘omics data such as bulk RNAseq, scRNAseq, spatial transcriptomics, ChIP-seq, proteomics, metabolomics, or epigenetics with particular expertise in at least one these
- Proficient in programming, scripting, querying and statistical analysis languages such as R, Python, and SQL
- Proficient in Unix-based command line interface and familiarity with high performance computing
- Proficient in standard methods for reproducible research such as Jupyter notebooks and/or Rmarkdown
- Familiar with versioning tools such as git
- Deep understanding of human biology/medicine, ideally with experience in any one of the following: neurology/neurodegenerative disease, repeat expansion disease, cardiomyopathy, non-oncological hematology, or metabolic disease
- Excellent communication, interpersonal, and presentation skills
- Ability to multi-task and prioritize amongst competing time-sensitive projects
- Prior experience leading group projects
- Strong desire and demonstrated ability to continually learn new skills
PREFERRED QUALIFICATIONS
- Knowledge of Bayesian data analysis methods
- Track record of innovative and impactful research including peer-reviewed publications
- Experience coding and deploying data visualization applications such as R Shiny
- Experience packaging and maintaining reusable code
Other Job Details
Eligible for Relocation Package
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
Computational Biologist
Agilent Research Laboratories, the central research organization for Agilent Technologies in Santa Clara CA, is seeking a motivated computational biologist excited about joining an innovative research team exploring ways to translate Agilent’s advanced best-in-class DNA and RNA manufacturing capabilities into the forefront and create impactful protocols and workflows for compelling life sciences and genomics applications. Special emphasis for these efforts will be in areas such as high throughput functional genomics, genome editing and control, and protein engineering.
As part of this effort, you will be working with a multi-disciplinary team of computational biologists, molecular biologists, and chemists. Using your outstanding computer science and bioinformatics expertise, deep understanding of the applications of interest and of relevant publicly available content, you will design, develop, and test compelling assay designs, analyze generated data using existing and novel approaches, and, together with the team, translate these results into insights driving novel application development. These technologies will have a tangible impact on advancing the next generation of research and clinical capabilities for studying disease, developing therapeutics, and producing high-value compounds.
In this role, you will communicate progress, results, challenges and opportunities to management and technical leadership, to selected external organizations, including collaborators, and, when appropriate, to the general scientific community via presentations at scientific conferences and in peer-reviewed publications. Finally, your research will help Agilent Research Laboratories continue its track record of powering the growth of Agilent Technologies through breakthrough science and technology, creating competitive advantage through high‐impact technology, driving market leadership and growth in Agilent’s core businesses, and expanding Agilent’s measurement footprint into adjacent markets.
Agilent is the premier laboratory partner for a better world. We provide instruments, reagents and consumables, software and applications expertise to life science, diagnostic and applied market laboratories worldwide.