Computational Biologist Resume Samples

Computational Biologist is a scientist that uses computer-based techniques to study biological processes. Working in a lab setting, these professionals complete the following tasks mentioned on the Computational Biologist Resume – collecting, analyzing, and interpreting data related to various biological systems, designing and running computer simulations, developing algorithms and models to analyze biological data, and constructing databases to store and manage biological information. Many of these experts also publish scientific reports and present their findings at conferences.

Skills and education needed to become a Computational Biologist include a strong foundation in mathematics and computer science, experience with a wide range of software, and an understanding of DNA, RNA, and protein synthesis. A Bachelor’s degree in a relevant field such as Biology, Computer Science, or Mathematics is usually necessary for entry into this field. A Master’s degree along with several years of work experience is preferred.

Computational Biologist Resume example

Computational Biologist Resume

Objective : As a Computational Biologist, performed analyses of cutting-edge genome editing therapeutics data and partnered with research and development teams to support genome engineering programs. Developed, maintained, and standardized bioinformatics pipelines using workflow management tools and scale the analysis with AWS cloud.

Skills : Programming, Statistical Analysis.

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Description :

  1. Worked on developing novel inhibitors for 15-LOX by using Pharmacophore Modeling and Molecular Docking studies.
  2. Performed in-silico methods for the development of lead compounds, protein expression, and purification of Aldose reductase inhibitors.
  3. Contributed to all aspects of target discovery and validation including but not limited to strategy development and planning, tool development, and execution of individual projects.
  4. Worked with regulatory authorities to standardize the bioinformatics workflow in-house and prepare scientific study reports for regulatory submission.
  5. Applied existing and novel algorithms to cancer data sets, analyze data quality, critically review and analyzed results, and communicate results to biologists, computational biologists, software engineers, and clinicians.
  6. Developed data analysis strategies, write algorithms, and deploy computational tools for the exploration of very large cancer data sets, such as The Cancer Genome Atlas project.
  7. Explored novel data visualization tools, with an emphasis on integrating diverse data types. Implemented algorithms as software for distribution to the global cancer research community.
Years of Experience
Experience
2-5 Years
Experience Level
Level
Executive
Education
Education
Bachelor's In Biology


Computational Biologist Resume

Summary : As a Computational Biologist used computational and bioinformatic methods to solve clinical problems. Application of mathematical models and computer algorithms to omic data to make associations predict outcomes, or prioritize experimentation. Conducted experimental validation of computational findings.

Skills : Microsoft Office, Microsoft Access, Technical Support, HTML, Computer, MySQL.

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Description :

  1. Responsible for the analysis and maintenance of all high-throughput data comprising both RNA-seq and Microarray data.
  2. Ran a virtual server in the high-computing facility at the medical center, which serves as an entry point to the compute cluster to run jobs requiring large data handling resources.
  3. Used this server to run a web portal - ExpressionPlot - to visualize all analyzed data both internally as well as relevant publicly available datasets that have been analyzed.
  4. Provided bioinformatics expertise to the members of the lab for the data that they produce as well as assisted in the general experimental design of projects.
  5. Maintain and develop code to help lab members better understand the scientific significance of experimental data.
  6. Collaborated with a wide group of labs in the Medical Centre community resulting in the publication of various high-ranking journal publications.
  7. Collaborated closely with BigHat wet lab, software engineering, ML scientists, and other team members to enable rapidly iterative molecule development.
Years of Experience
Experience
10+ Years
Experience Level
Level
Senior
Education
Education
Bachelor's In Biology


Computational Biologist Resume

Summary : As a Computational Biologist, Identified and validated approaches to improve the quality and efficiency of hypothesis generation from model systems. Maintained awareness of emerging methods in computational biology and applications for novel omics technologies. Provided ad-hoc bioinformatics support to cross-disciplinary project teams.

Skills : Understanding Of Biology And Genetics.

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Description :

  1. Collaborated with clinical and biological scientists to advance and execute hypothesis-driven research.
  2. Drove deeply into sequencing datasets and ask novel and clinical questions. Collaborated with academic partners at other institutions.
  3. Prepared and contributed to scientific manuscripts for publication in journals and conferences.
  4. Continued to research new developments in the field of computational biology and bioinformatics to apply these methods to new data sets.
  5. Formulated best practices for the analysis and interpretation of data from CRISPR screens and other functional genomics assays.
  6. Performed diverse modeling tasks, typically with sequencing data or data matrices with sequencing counts as input.
  7. Contributed to data science-driven sequence-based design of gene therapy products.
                  Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Management
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Summary : As a Computational Biologist, worked with an interdisciplinary team of scientists to perform analyses for safety control of the biomanufacturing process, genetic characterization, transcriptome analysis, or troubleshooting activities, Adapted computational approaches and pipelines for novel applications

                  Embody FAIR standards Findable, Accessible, Interoperable, and Reusable to maintain a well-documented, reproducible, and versioned codebase.

                  Skills : Python, R, And Perl.

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                  Description :

                1. Conducted data analyses on a wide range of technologies such as gene expression, SNPs, and Next Generation Sequencing (RNA-Seq, scRNA seq, exome, and whole genome sequencing), and proteomics data.
                2. Applied statistical insights to develop innovative analysis methods and algorithms for biological data.
                3. Collaborated with colleagues to solve complex computational research problems.
                4. Interpreted data from a biological and translational perspective. Managed, integrated, and maintained datasets.
                5. Participated in the grant writing process by designing and developing statistical analysis plans specific to a future project.
                6. Regularly communicated project status updates and meet expected deliverable dates.
                7. Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Consultant
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Summary : As a Computational Biologist, collaborated with the Biology team to design studies focused on the delivery of molecules to Hematopoietic Stem and Progenitor Cells (HSPCs) and primary immune cells to optimize assays. Supported, analyzed, and optimized the output of analytical assays, including flow cytometry, ELISA, and PCR.

                  Skills : Statistical And Bioinformatics Tools.

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                  Description :

                  1. Worked closely with bench biologists and other data scientists to formulate computational means of testing molecular biological hypotheses.
                  2. Drove scientific thinking, excellence, and technology developments to maximize current and future impact on programs and projects.
                  3. Helped to develop a strategy for the identification and validation of novel targets and for the development of novel functional genomics assays
                  4. Delivered on objectives through effective internal and external collaboration and with teams of diverse skill sets based in diverse geographic locations.
                  5. Communicated effectively within a team and to external stakeholders about progress, issues, and impact.
                  6. Participated within a team of scientists to foster a culture of scientific excellence and collaboration.
                  7. Actively participated in the preparation of manuscripts for publication.
                  Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Consultant
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Summary : As a Computational Biologist, analyzed molecular profiling data generated at Uniformed Services to characterize tumor biology, such as identifying driver molecular alterations, molecular subtypes, and prognostic markers. Molecular profiled platforms will include DNA-WGS, RNA-seq, single cell, spatial sequencing, and/or related platforms. Excited opportunity to be a key analyst in collaborative studies, make primary contributions to scientific publications and have opportunities for scientific and career growth.

                  Skills : Data Visualization Techniques, Problem-Solving.

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                  Description :

                  1. Collaborated with experimentalists and computational biologists to develop and applied functional genomics techniques to understand gene regulation and the genetic basis of heart disease.
                  2. Designed and implemented generalizable algorithms and tools for the analysis of biological data, including high-throughput functional genomics assays.
                  3. Evaluated and recommended new emerging technologies, approaches, and problems.
                  4. Created scientifically rigorous visualizations, communications, and presentations of results.
                  5. Contributed to the generation of protocols, publications, and intellectual property.
                  6. Maintained and organized computational infrastructure and resources.
                  7. Performed production genome data analysis for cancer cohorts. Production analysis will consist of data generation, quality assessment, integrated statistical analysis, and management of data and analysis milestones.
                  Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Consultant
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Headline : As a Computational Biologist, collaborated cross-functionally with a variety of teams, working closely with scientists, engineers, and product managers to inform and prioritize R&D genomic enhancements. Recommended wet lab experiments to prove or disprove hypotheses generated by computational discovery.

                  Skills : Planning, Technical Skills.

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                  Description :

                  1. Delivered analysis presentations and coordinates discussions on scientific teleconferences among collaborators.
                  2. Led and conducted novel data-driven and hypothesis-directed cancer genomics research, including the development of computational analysis tools for topics such as mutation discovery, subtype discovery, and structural variant analysis.
                  3. Wrote experimental results, and generates figures for publication in technical and peer-reviewed journals and conferences.
                  4. Supervised junior informatics staff and perform other duties and responsibilities as assigned or directed by the supervisor. 
                  5. Worked on the development and deployment of computational methods to analyze and interpret data from a variety of cutting-edge high-throughput experimental technologies.
                  6. Collaborated with researchers to understand the translational research aim to optimize the workflows around identifying, recruiting, managing, and analyzing data coming from translational research studies.
                  7. A distilled researcher needs to prioritize problems and define appropriate solutions. Worked with the Designer and Engineering to prioritize, plan, and execute projects.
                  Years of Experience
                  Experience
                  5-7 Years
                  Experience Level
                  Level
                  Executive
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Summary : As a Computational Biologist, discovered novel genes, pathways, and regulatory motifs pertinent to discovery programs. Expanded the capabilities of current gene annotation pipelines and in-house gene uniqueness algorithms. Identified homologous genes and generate unique HMMs that are relevant to discovery programs.

                  Skills : Deployment, Biologist.

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                  Description :

                  1. Identified scalable solutions, including data transfer/upload to external customers, that allow us to execute partnerships on time.
                  2. Defined success metrics and analyzed outcomes to improve processes and product portfolio strategy.
                  3. Communicated requirements, plans, and project status within teams and throughout the organization, as well as with partners.
                  4. Monitored and evaluated analytical aspects of new and emerging technologies. Wrote scientific reports, and prepared research results for publication.
                  5. Created the marketing technical marketing material. Presented scientific and technical data to colleagues in a clear and cohesive manner.
                  6. Worked independently in a multidisciplinary, fast-paced, and results-oriented environment.
                  7. Experienced with next-generation sequencing platforms, Flowcytometry platforms, and other translational research-related analytical platforms and toolkits.
                  Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Consultant
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Summary : As a Computational Biologist, developed a sample-to-answer workflow. Built and tested processing pipeline for specimens. Designed and implemented visualizations for high-dimensional cytometry data. Worked with scientists to implement machine learning algorithms. Contributed to product development and customer success.

                  Skills : Problem-Solving, Biological Data.

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                  Description :

                  1. Developed mathematical models of molecular and cellular processes in the lung, including but not limited to regulation of vasoconstriction and bronchoconstriction, response to hypoxia, toxicity to airways/alveoli, and initiation/resolution of inflammation and fibrosis.
                  2. Conducted research into approaches for mechanistic modeling of biological processes and determine suitability for specific applications.
                  3. Integrated diverse data sources, such as in vitro cell culture, immunoassays, clinical measurement, and/or large-scale genomic and transcriptomic assays, into model development and calibration workflows.
                  4. Implemented procedures for model qualification to evaluate the impact of uncertainty and variability on model output.
                  5. Collaborated with other computational biologists and engineers to integrate models into large multiscale models spanning processes from organ to molecular level.
                  6. Partnered with internal and external labs to generate experimental data for model training/validation.
                  7. Communicated results effectively through interactive visualizations, presentations at internal and external meetings, and peer-reviewed publications.
                  Years of Experience
                  Experience
                  7-10 Years
                  Experience Level
                  Level
                  Consultant
                  Education
                  Education
                  Bachelor's In Biology

                  Computational Biologist Resume

                  Objective : As a Computational Biologist, explored novel genomics and machine learning algorithms. Paired with our software engineers to automate the lifecycle of our cell programming platform through NGS analysis and cutting-edge machine-learning methods. Directly involved to build our technology platform, business strategy, and company culture.

                  Skills : Planning, Problem-Solving.

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                  Description :

                  1. Processed, analyzed, and visualized data from proteomics, chemo proteomics, phosphoproteomics, and interaction proteomics experiments.
                  2. Built and perfected informatics pipeline for mass spec-based proteomics. Drove bioinformatics strategy by working closely with chemical biologists, pharmacologists, and data scientists to develop tools and workflows that support research strategy.
                  3. Explored modern computational methodologies in multi-omics (proteomics, functional genomics, transcriptomics) to generate biological interaction networks (such as protein-protein interaction networks, gene-protein interaction networks, and gene regulatory networks).
                  4. Provided insights into disease biology and MoA of selected compounds. Maintained scientific and technical expertise through familiarity with scientific literature, attending conferences, and developing relationships with thought leaders.
                  5. Contributed to the design and analysis of engineered mammalian cell lines.
                  6. Worked closely with bench scientists by guiding experimental workflows and quantitative measurements to ensure statistical rigor.
                  7. Regularly drove deep into the multi-omics stack, innovate on analysis techniques and present findings to our organization, leadership, and partners.
                  Years of Experience
                  Experience
                  0-2 Years
                  Experience Level
                  Level
                  Junior
                  Education
                  Education
                  Bachelor's In Biology