Job Summary: 

• Follow standard operating procedures to analyze genomic and other laboratory data using both industry standard tools.
• Responsible for creating and updating SOPs and other documents.
• Proactively adjust, automate, and improve computing and data systems.
• Perform quality assurance/quality control analyses on genomic and other data sets.
• Perform analyses to demonstrate the validity and equivalency of new reagents and reconfigured instruments.
• Analyze clinical test data to identify and document process deviations and clarify unexpected findings.
• Curate, organize, QC, and deliver sets of production data to customers and R&D partners.
• Create scripts, database queries, and visualizations to automate and improve the processes.
• Participate in an on-call rotation to support off-hours delivery of data and prevent interruptions in service.

Skills on Resume: 

• Genomic Data Analysis (Hard Skills)
• SOP Management (Hard Skills)
• System Improvement (Hard Skills)
• Quality Control (Hard Skills)
• Equivalency Testing (Hard Skills)
• Clinical Test (Hard Skills)
• Data Management (Hard Skills)
• Database Querying (Hard Skills)

Job Summary: 

• Execute computational analysis of biomarker data
• Compile data for use in activities such as gene expression profiling, genome annotation (genetic characteristics or expression)
• Analyze and interpret large molecular datasets such as raw microarray data, flow cytometry data, and proteomics data for clinical or basic research purposes
• Proactively troubleshoot and creatively resolve analytical challenges in collaboration with the team
• Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases
• Effectively manage day-to-day data from third-party vendors for biomarker studies
• Lead the bioinformatics analysis plans for biomarker programs across assets
• Assist in writing/reviewing SOPs, posters, presentations, internal/external documents
• Follow SOPs and relevant compliance regulations regarding documentation and scientific responsibility
• Regular participation in, and presentation at research group and project team meetings

Skills on Resume: 

• Biomarker Data (Hard Skills)
• Data Compilation (Hard Skills)
• Molecular Datasets (Hard Skills)
• Collaboration (Soft Skills)
• Database Management (Hard Skills)
• Vendor Data Management (Hard Skills)
• Leadership (Soft Skills)
• Communication (Soft Skills)

Job Summary: 

• Work closely with Harvard faculty, postdocs, and students to advise on the analysis of sequencing data and other biological ‘big data’
• Lead ongoing efforts in the FAS bioinformatics group to develop methods and resources for non-model and comparative population genomics
• Teach bioinformatics workshops to the Harvard community on topics of interest
• Collaborate with scientists generating sequencing data at including participating in the writing and execution of grant proposals with faculty members.
• Design and implement novel and efficient algorithms, analyze and interpret experimental findings
• Present methods and results, and contribute to the intellectual property portfolio
• Applying best practice statistical/computational methods to analyze genomic, transcriptomic and epigenetic data from patients with cancer or inherited rare disease
• Maintaining and improving prototypes for analysis pipelines and clinical reports
• Identifying opportunities to improve the bioinformatics user experience and implement solutions
• Responsible for the benchmarking of sequencing data analysis tools

Skills on Resume: 

• Population Genomics (Hard Skills)
• Workshop Facilitation (Soft Skills)
• Grant Writing (Soft Skills)
• Algorithm Design (Hard Skills)
• Presentation (Soft Skills)
• Computational Methods (Hard Skills)
• Pipeline Maintenance (Hard Skills)

Job Summary: 

• Strategic planning, design, and analysis of functional genomic and proteomic experiments critical for the evaluation of novel engineered T cell therapeutics.
• Derive relevant biological insights/conclusions from the outputs of bioinformatics analysis in collaboration with Immunology and Synthetic Biology scientists.
• Develop, maintain, and improve upon current bioinformatics pipelines and computational infrastructure.
• Contribute to the development of new analytical methods and tools, streamline the analysis to enable real-time collaboration
• Maintain a current understanding of bioinformatics literature and methodology, and other scientific literature related to drug discovery projects
• Collaborate with data scientists, software engineers, and with scientists in wet labs.
• Work with large-scale datasets to derive insights to improve the capabilities and business
• Develop novel apps, tools, and methods for increasing the analytical capabilities
• Communicate both internally and externally to understand and document requirements.
• Conducting other applied research using computational biology

Skills on Resume: 

• Bioinformatics Proficiency (Hard Skills)
• Statistical Analysis (Hard Skills)
• Programming (Hard Skills)
• Pipeline Development (Hard Skills)
• Tool Development (Hard Skills)
• Domain Knowledge (Hard Skills)
• Communication (Soft Skills)
• Continuous Learning (Soft Skills)

Job Summary: 

• Conduct data mining from literature and use the results to aid the vector engineering effort
• Analyze and interpret DNA/RNA next-generation sequencing data, and use the data to help guide the design of next-generation constructs and experiments
• Performing deep sequencing data analyses to facilitate AAV capsid evolution and discovery effort
• Carrying out biostatistical analyses of the data generated from different groups in the organization and helping interpret the data
• Developing and maintaining bioinformatics tools for in-house data analysis and interpretation
• Collaborate with molecular biologists on the analysis of NGS data for the development of new products for a wide range of applications
• Evaluate NGS data analysis methods published in peer-reviewed literature, and extend them 
• Develop and deploy state-of-the-art NGS data analysis solutions for both internal R&D work and customers.
• Use data analysis to refine and optimize the design of assays for a wide range of NGS and qPCR/dPCR applications.

Skills on Resume: 

• Data Mining (Hard Skills)
• NGS Data Analysis (Hard Skills)
• Capsid Evolution Analysis (Hard Skills)
• Biostatistical Analysis (Hard Skills)
• Tool Development (Hard Skills)
• Collaboration (Soft Skills)
• Method Evaluation (Hard Skills)
• Assay Design (Hard Skills)

Job Summary: 

• Analyze multi-omic, clinical, and genetic data from patient cohorts to make a positive difference.
• Develop statistically robust tools for analyzing diverse data sets, from both established modalities and technologies
• Provide scientific direction, and technical expertise and coordinate activities with other groups
• Present data results to colleagues, senior management and collaborators.
• Disseminate results in peer-reviewed journals and conferences.
• Introduce novel research questions to drive the research forward.
• Analyze and extract biological insights from internal and public datasets 
• Developing new computational methods or leveraging existing methods 
• Implement and develop data analysis/visualization tools to enable biologists to access data
• Cultivate a data-centric company philosophy by creating best practices for data management and infrastructure
• Support data management and storage for all sample handling and laboratory operations

Skills on Resume: 

• Data Analysis (Hard Skills)
• Tool Development (Hard Skills)
• Leadership (Soft Skills)
• Communication (Soft Skills)
• Dissemination (Hard Skills)
• Research Innovation (Soft Skills)
• Biological Insights (Hard Skills)
• Computational Method (Hard Skills)

Job Summary: 

• Use biology/computing/informatics expertise to generate algorithms, software, and database tools 
• Create, implement and maintain pipelines for processing high-throughput next-generation sequencing data for genomics, epigenomics, and transcriptomics studies
• Perform program planning, solicitation, and evaluation of the programs related to research grants, interagency agreements and contract-supported research projects
• Train DAIT staff on data analysis and visualization technologies.
• Perform data management, data mining, and visualization tasks that help with administrative and planning issues based on heterogeneous data sources.
• Work with other DAIT Program Officers, and provide oversight of data submission of DAIT-funded research program to ImmPort and other public repositories.
• Provide expert data analysis and data management advice and guidance to program staff and extramural investigators about issues
• Meet regularly with the Branch Chief/Office Director, Division Director, and other DAIT officials 
• Discuss data-specific issues and review any matters of concern to the branch.

Skills on Resume: 

• Software Development (Hard Skills)
• Pipeline Creation (Hard Skills)
• Program Planning (Soft Skills)
• Training (Soft Skills)
• Data Mining (Hard Skills)
• Oversight (Soft Skills)
• Expert Advice (Soft Skills)
• Reporting (Soft Skills)

Job Summary: 

• Develop, test, implement, maintain and monitor clinical bioinformatics pipelines
• Develop, test, implement, maintain and monitor data management systems following CAP/CLIA NGS guidelines.
• Compile and document validations and supplemental validations involving NGS bioinformatics pipelines following CAP/CLIA NGS guidelines.
• Work in interdisciplinary groups for the development and maintenance of clinical workflow.
• Assist in the establishment of cutoffs and guidelines for the interpretation of NGS results using statistical analysis.
• Maintain SOP documentation related to bioinformatics processes such as NGS data analysis pipelines.
• Assist and train non-bioinformatic molecular technical staff to use NGS data analysis pipelines.
• Maintain NGS hardware and software, and troubleshoot NGS server problems.
• Performs following system-wide competencies/behaviors

Skills on Resume: 

• Pipeline Development (Hard Skills)
• Data Management (Hard Skills)
• Compliance (Hard Skills)
• Collaboration (Soft Skills)
• Statistical Analysis (Hard Skills)
• SOP Documentation (Hard Skills)
• Training (Soft Skills)

Job Summary: 

• Statistical and population genetic analysis of large, multi-omics datasets
• Algorithm development for emerging sequencing technologies
• Design and implementation of studies demonstrating the clinical utility of innovative technologies
• Analyze population-scale sequencing data to benchmark and improve variant callers
• Communicate novel research findings internally and externally through presentations and manuscripts
• Collaborate with assay, clinical and computational scientists to deliver complete products
• Process and analyze complex single-cell datasets (e.g. scRNA-seq) to derive meaningful biological results 
• Help inform potential next steps including experimental validation, publication, or patent. 
• Generating thousands of such data sets, with each data set requiring complex filtering and interpretation
• Be part of a collaborative environment in prioritizing potential leads through literature review and experimental validation

Skills on Resume: 

• Genetic Analysis (Hard Skills)
• Algorithm Development (Hard Skills)
• Clinical Study Design (Hard Skills)
• Communication (Soft Skills)
• Collaboration (Soft Skills)
• Single-cell Data Analysis (Hard Skills)
• Decision Making (Soft Skills)

Job Summary: 

• Develop algorithms for variant calling and quality control
• Build end-to-end analysis pipelines along with supporting documentation such as user guides, unit tests, and functional tests
• Perform data analysis of development runs to inform algorithm design and product optimization
• Perform rapid troubleshooting of NGS runs, and provide input into experimental design
• Create clinical-grade supporting documentation for the production pipeline, including requirements, code reviews, and test reports
• Write Engineering Reports documenting key analyses that drive product development decisions
• Present results to internal team members and company advisors
• Design, implement and refine informatics algorithms and pipelines that crawl, parse and organize reference sequences of DNA
• Design, implement and refine informatics pipelines that analyze, visualize and report qPCR-based microbiome profile results
• Establish, execute, and report analysis of large data set for the development of effective health indexes and discovery of biomarkers
• Contribute experience and creativity to the scientific community and endeavors

Skills on Resume: 

• Quality Control (Hard Skills)
• Pipeline Development (Hard Skills)
• Algorithm Optimization (Hard Skills)
• NGS Troubleshooting (Hard Skills)
• Clinical-Grade Documentation (Hard Skills)
• Report Writing (Hard Skills)
• Presentation (Soft Skills)
• Pipeline Design (Hard Skills)

Job Summary: 

• Operate, co-develop and help maintain workflows used in Next Generation Sequencing (NGS) and other bioinformatics pipelines
• Development and testing of new methods and development of standard datasets
• Applying algorithms and computing strategy to make large-scale data analysis feasible and support translation into products
• Rigorous and reproducible data analysis and reporting
• Document workflows, protocols, and reports for reproducible science
• Assist with data and project management and presenting reports presentations, and manuscripts
• Manage data exchange with collaborators, ingestion, annotation and making the genomics datasets analysis ready.
• Deploy and support Precision Medicine & Biosamples data analysis software and bioinformatic workflows and pipelines.
• Manage, analyze and deliver NGS assays including rigorous quality control of results from clinical trials, and automated cross-checking of multiple data sources
• Contribute to data from analysis of genomics datasets to support regulatory submissions.

Skills on Resume: 

• Workflow Operation (Hard Skills)
• Method Development (Hard Skills)
• Computing Strategy (Hard Skills)
• Data Analysis (Hard Skills)
• Documentation (Hard Skills)
• Presentation (Soft Skills)
• Data Exchange (Hard Skills)

Job Summary: 

• Evaluate, design, and manage bioinformatic pipelines for omics-based data sets, including scRNA-Seq, spatial transcriptomics, and bulk RNA Seq.
• Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
• Provide bioinformatics support to R&D by analyzing and interpreting NGS data
• Communicate with clients to explain NGS and gene expression results
• Responsible for understanding experimental procedures performed to ensure the accuracy and quality of results
• Work independently and collaborate with scientists to make appropriate and timely decisions to meet deadlines on experiments and projects
• Collaborate with assay, clinical and computational scientists at Illumina and external academic laboratories to research new biological assays
• Developing novel analysis methods to assess and improve multi-omic methods
• Performing the statistical analysis of large datasets
• Communicate research findings internally and externally through presentations and manuscripts

Skills on Resume: 

• Bioinformatic Pipeline (Hard Skills)
• Analysis Solutions (Hard Skills)
• NGS Data Analysis (Hard Skills)
• Client Communication (Soft Skills)
• Experimental Procedures (Hard Skills)
• Collaboration (Soft Skills)
• Collaboration (Soft Skills)
• Novel Analysis Method (Hard Skills)

Job Summary: 

• Design and develop in silico analysis tools providing biological insight into vaccine targets
• Utilize computer simulation expertise such as molecular dynamics and Monte Carlo simulations 
• Solve protein structures’ dynamics and mechanism of protein-protein interaction.
• Develop and improve the silico tool to quantify glycan density of glycoprotein and find out correlations with antibody-antigen properties
• Develop web-based servers of in-house developed in silico tools.
• Apply advanced sampling skills to evaluate the transition state between state 2 and state 3 of HIV-1.
• Serve as an expert to identify critical/biological findings of experimental data and collaborate with other scientists.
• Utilize High-performance computing (HPC) to bring state-of-the-art techniques such as machine learning, artificial intelligence, and deep learning
• Provide scientific expertise to facilitate protein and vaccine design.
• Publish the findings and analysis in peer-reviewed journals and present at scientific conferences.

Skills on Resume: 

• Analysis Tool Design (Hard Skills)
• Computer Simulation (Hard Skills)
• Protein Structure (Hard Skills)
• Correlation Analysis (Hard Skills)
• Web-Based Server (Hard Skills)
• Experimental Data Analysis (Hard Skills)
• HPC Utilization (Hard Skills)

Job Summary: 

• Perform QC on genomic data including next and third-generation sequencing long-read sequencing
• Report and interpret QC and analysis results, and create SOPs for data transfer and QC steps
• Develop and implement procedures for effective data management
• Regularly monitor and evaluate information and data systems that could affect analytical results
• Optimize, organize, and assist in establishing cost-efficient data uploads and downloads
• Assist staff members in the daily use of data
• Organize all incoming data files and data storage for multiple sequencing projects
• Prepare detailed reports for management on incoming and outgoing data
• Developing the client-facing data visualizations
• Collaborate with team to define new platform requirements and continuously improve the data services

Skills on Resume: 

• Genomic Data QC (Hard Skills)
• SOP Creation (Hard Skills)
• Data Management (Hard Skills)
• Data Systems Monitoring (Hard Skills)
• Data Optimization (Hard Skills)
• User Support (Soft Skills)
• Visualization (Hard Skills)

Job Summary: 

• Building and managing databases/data lakes using a variety of data inputs and systems
• Coding in Python and R for analysis of multi-omics data sets
• Ensure scalable and continuous high-quality data stream, query analysis, and optimization
• Coordinates with the software development team in new data-driven applications
• Develop new bioinformatics processes and use computational tools to extract actionable information from sequencing data
• Understand and model technical variation inherent in cfDNA and WGS
• Motivate new hypotheses about molecular signatures of cancer by remaining current on literature related to cfDNA and cancer biology
• Analyze complex genomic datasets to generate biological insights in the context of cancer detection and progression
• Perform end-to-end analyses that include data gathering, processing, analysis, and presentation of results
• Work closely with Data Scientists and Genomic Scientists to improve the bioinformatics and machine learning model
• Interact cross-functionally with other teams including engineering, assay development, clinical, lab operations, & external professionals
• Develop visualizations to interpret and communicate results

Skills on Resume: 

• Database Management (Hard Skills)
• Programming (Hard Skills)
• Data Stream (Hard Skills)
• Collaboration (Soft Skills)
• Bioinformatics Process (Hard Skills)
• Cancer Biology Literature (Hard Skills)
• Genomic Data Analysis (Hard Skills)

Job Summary: 

• Construct and improve the high-performance image analysis pipelines for new sequencing platforms
• Design, prototype, and implementation of computational algorithms utilizing both statistical and machine learning approaches
• Creation and iterative enhancement of sequence analysis workflows to support both research and clinical products.
• Software optimization at the design, algorithm, and source code level.
• Deeply collaborate with other teams to develop cutting-edge sequencing systems.
• Develop analytical strategies tailored toward the needs and goals of the specific projects.
• Design and implement novel and innovative bioinformatics workflows for the analysis of proteomics and other omics data
• Lead biology and disease-relevant insight generation from internal data and external databases.
• Stay on top of the latest developments in the field of bioinformatics/proteomics and provide support for the internalization of promising approaches.
• Communicate results, hypotheses, and suggestions clearly in written and oral form.

Skills on Resume: 

• Analysis Pipeline (Hard Skills)
• Algorithm Design (Hard Skills)
• Analysis Workflow (Hard Skills)
• Software Optimization (Hard Skills)
• Collaboration (Soft Skills)
• Analytical Strategy (Hard Skills)
• Bioinformatics Workflow (Hard Skills)
• Insight Generation (Hard Skills)

Job Summary: 

• Work as part of a drug discovery project team to proactively identify informatics opportunities, propose solutions, and support analytical needs
• Contribute to the identification and validation of novel cancer targets leveraging public/proprietary genomics data and modern data mining technologies
• Contribute to the team effort in data analysis infrastructure development, including identifying or implementing fit-for-purpose tools 
• Working with vendors to streamline the workflow in a suitable computing environment
• Contribute to the development of innovative information intelligence solutions and act as a bridge between end users and developers 
• Maintain expertise in state-of-the-art data science and cancer genomics methods
• Proactively communicate to supervisor and key stakeholders about activities and status
• Generate patents, technical documents, external publications, and presentation
• Working with external vendors to achieve business goals
• Regular presentation at internal and external meetings to audiences of diverse scientific backgrounds.
• Initiate and participate in strategic external collaborations in pursuit of these goals.
• Demonstrates and upholds behavior consistent with the Integrated DNA Technologies Core Values 
• Delivers the Integrated DNA Technologies experience to customers and other business associates.

Skills on Resume: 

• Cancer Target Identification (Hard Skills)
• Data Analysis (Hard Skills)
• Collaboration (Soft Skills)
• Information Intelligence Solution (Hard Skills)
• Genomics Methods (Hard Skills)
• Communication (Soft Skills)
• Presentation (Soft Skills)

Job Summary: 

• Develop and implement bioinformatics solutions to support the discovery and validation of pre-analyze and integrate multi-omics data.
• Keep track of state-of-the-art bioinformatics advances in microbiome and other -omics analysis
• Identify, mine, integrate and transform internal and external datasets into knowledge
• Develop and implement novel algorithms, mathematical and statistical models
• Collaborate with experimental and clinical scientists
• Develops and maintains pipelines for functional genomics, NGS, and qPCR applications
• Provides data analysis support for product development and external collaborations
• Works closely with R&D scientists to support daily research activities
• Participates in brainstorming sessions and contributes ideas in technology, algorithms and products
• Works independently and also collaborates with other team members to meet project deadlines
• Prepares and delivers presentations based on scientific and technical progress and achievements

Skills on Resume: 

• Bioinformatics Solution (Hard Skills)
• Bioinformatics Advances (Soft Skills)
• Data Mining (Hard Skills)
• Algorithm and Model (Hard Skills)
• Collaboration (Soft Skills)
• Pipeline Development (Hard Skills)
• Data Analysis (Hard Skills)
• Presentation (Soft Skills)

Job Summary: 

• Develop and maintain statistical analytical tools and bioinformatics pipelines.
• Conduct analysis and develop innovative algorithms on biomarker discovery and clinical diagnostics data.
• Consult on experiment design and data interpretation for laboratory research.
• Provide analytical support for quality assessment of laboratory service and production data.
• Contribute to the design and development of informatics infrastructure.
• Adhere to coding and documentation standards and manage deliverables for area of responsibility.
• Design, develop, and test components of clinical NGS pipelines for oncology whole exome, whole transcriptome and other clinical tests.
• Analyze and integrate heterogeneous NGS data from diverse next-generation sequencing assays and microarrays.
• Collaborate with wet labs to design experiments to validate novel results.
• Publish novel findings in academic journals and present at conferences.
• Lead or support bioinformatics projects that translate NGS results and/or clinical/EMR datasets into novel discoveries.
• Collaborate with oncologists and basic scientists to develop ‘driver projects’ that make use of Sema4’s unique data resources.
• Contribute to the design and development of Sema4’s databases and associated data analytics platform.

Skills on Resume: 

• Bioinformatics Pipeline (Hard Skills)
• Discovery Algorithm (Hard Skills)
• Consultation (Soft Skills)
• Quality Assessment (Hard Skills)
• Informatics Infrastructure (Hard Skills)
• Coding (Hard Skills)
• Clinical NGS Pipeline (Hard Skills)

Job Summary: 

• Responsible for analyzing and interpreting the results of experiments.
• Collaborates with researchers to develop high throughput data processing and analysis capability and recommends potential alternative approaches
• Directs and guides database searches and the computational analysis of resulting data.
• Provides direct technical customer support and helps guide, implement, and maintain further improvements to bioinformatics software, databases
• Interfaces and works with the entire bioinformatics team to diagnose and fix related issues.
• Provide workflow direction to subordinates, oversee quality and training of team members, and may serve as a mentor to junior staff.
• Serve as principal investigator on funded proposals and have full responsibility for specific areas or methodology development and user support.
• Perform simple programming using Perl/Python or Java, statistical programming, web development, and database query through SQL.
• Collaborating with cross-functional teams from experimental, clinical biomarker, and clinical development teams 
• Find opportunities to support drug and biomarker discovery through analyses of external and internal genetic/genomics data.
• Develop and/or apply innovative computational methods to analyze multiscale omics data. 
• Collaborate with other informatics scientists and statisticians around data analysis methods and solutions for automated workflows and database creation.
• Lead and/or participate in research to uncover novel therapeutic targets and biomarkers of disease heterogeneity.

Skills on Resume: 

• Experiment Results Analysis (Hard Skills)
• Collaboration (Soft Skills)
• Database Searches (Hard Skills)
• Customer Support (Soft Skills)
• Issue Resolution (Soft Skills)
• Leadership (Soft Skills)
• Principal Investigator (Soft Skills)
• Database Query (Hard Skills)