Job Summary: 

• Manages large biological datasets and analyzes these in a way that results in meaningful biological insights
• Maintains and improves upon interactive data visualization tool
• Designs and implements novel analyses in close communication with other people involved in scientific projects
• Serves as the go-to person for wet lab scientists looking to extract specific scientific questions out of complex biological datasets
• Processes literature and keeps up with state-of-the art methods
• Identify and evaluate new opportunities relating to analysis and visualization methods
• Assist in the generation of figures, slide decks and reports for internal and external use
• Analysis and management of data derived from a variety of NGS approaches
• Generate regular reports on progress and regularly present at internal science meetings
• Maintains accurate version control and documentation to ensure continuity and prevent redundant resource spending

Skills on Resume:

• Expert Data Management (Hard Skills)
• Advanced Data Analysis (Hard Skills)
• Interactive Data Visualization (Hard Skills)
• Innovative Analysis Design (Hard Skills)
• Methodological Proficiency (Hard Skills)
• Effective Communication (Hard Skills)
• Consultative Support (Soft Skills)
• Opportunity Identification (Soft Skills)

Job Summary: 

• Evaluate and apply broad bioinformatics analysis expertise to support drug discovery in the CTU
• Contribute to drug discovery projects by analyzing genomic and transcriptomic data
• Evaluate and tailor such approaches and create bioinformatics pipelines for specific drug discovery projects requirements
• Deploy bioinformatics pipelines using scripting languages such as Perl/Python and statistical packages such as R
• Perform downstream analyses required to help the biological interpretation of complex data with view to aiding decision making in drug discovery projects
• Design and implement database driven multi-omics data integration
• Analyzing and understanding diverse data sets, such as those needed for testing software products for clinical users
• Support the implementation of requirement analysis and end-user-oriented tests
• Write high-quality documentation tailored to end users.
• Prepare and provide training activities for clinical users and researchers.

Skills on Resume:

• Bioinformatics Expertise (Hard Skills)
• Genomic Analysis (Hard Skills)
• Pipeline Development (Hard Skills)
• Scripting Proficiency (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Interpretation (Hard Skills)
• Multi-Omics Integration (Hard Skills)
• Requirement Analysis (Soft Skills)

Job Summary: 

• Collaborate with the R&D team to support the analysis of experimental research aiming
• Develop novel technologies to enable neo-antigen-based T-cell therapies.
• Support the TCR selection facility to analyze patient screens
• Identification, characterization, and selection of personalized neo-antigen specific TCRs.
• Support the development of new tools to be used in neoantigen-based TCR discovery platform.
• Implement and test analysis pipeline innovations.
• Presentation of obtained results in internal work discussions.
• Develop, evaluate and benchmark new analysis methods for genomics data with emphasis on genomes
• Execute, monitor and troubleshoot analysis pipelines in an HPC environment
• Provide reports and analysis information to support decision making regarding new genomics technologies
• Deliver bioinformatics analysis based on short and long read sequencing technologies for projects as per OMP/GRF, with reporting

Skills on Resume:

• R&D Collaboration (Soft Skills)
• Technology Development (Hard Skills)
• TCR Analysis (Hard Skills)
• TCR Selection (Hard Skills)
• Tool Development (Hard Skills)
• Pipeline Implementation (Hard Skills)
• Results Presentation (Soft Skills)
• Analysis Methodology (Hard Skills)

Job Summary: 

• To work in a team providing NGS data analysis
• Ensure that all work is done in compliance with ISO 15,189 requirements
• Ensure the all NGS data handling pipelines are accurate and cross-checked with alternative analysis methods
• Apply a systematic approach for the analysis of NGS sequence data 
• Interpretation of variants and produce supporting SOPs, work instruction etc
• Deliver presentations on NGS data and specific variant  
• To assist with training other staff in the use of NGS data analysis pipelines
• Investigate concerns and queries regarding test results and methods
• Reporting back in a timely and accurately manner to laboratory staff, management and clients.
• Analyse, interpret and explain specialist results

Skills on Resume:

• NGS Data Analysis (Hard Skills)
• ISO Compliance (Hard Skills)
• Pipeline Accuracy (Hard Skills)
• Systematic Analysis (Hard Skills)
• Variant Interpretation (Hard Skills)
• Presentation Skills (Soft Skills)
• Training Support (Soft Skills)
• Query Resolution (Soft Skills)

Job Summary: 

• Develop bioinformatics pipelines by integrating and extending existing bioinformatics and next-generation sequencing (NGS) tools
• Develop and run Python and R-based pipelines in HPC environment in the cloud.
• Interact effectively with cross-functional teams, including research, clinical, and lab scientists
• Develop assay and computational capabilities in tandem
• Analyse and maintain human population scale genetic variant datasets
• Collaborations with different experts in the science, tech and digital areas
• Manage the communication with the stakeholders involved in conducting experiments, and align accordingly when experiments need to be revised
• Provide accurate and well thought out solutions for problems and issues based on a strong theoretical and practical grounding.
• Stay up to date with NGS industry news, and communicate internally  
• Participate in and represent Eurofins at conferences and international symposiums.

Skills on Resume: 

• Pipeline Integration (Hard Skills)
• Cloud Computing (Hard Skills)
• Team Collaboration (Soft Skills)
• Assay Development (Hard Skills)
• Variant Analysis (Hard Skills)
• Interdisciplinary Networking (Soft Skills)
• Stakeholder Engagement (Soft Skills)
• Problem-solving (Soft Skills)

Job Summary: 

• Performs DNA, protein, and motif-based sequence analysis using various bioinformatics sequence comparison and pattern identification tools
• Builds robust data processing pipelines that transform high-throughput experimental data into actionable knowledge
• Generates structural models of enzymes and in-silico docking of substrates, products, and intermediates into the active site of an enzyme.
• Provides solutions for complex problems that require modeling, analytical, statistical
• Programming skills to contextualize, interpret, and visualize large data sets
• Designing architecture of document-based NoSQL Data Management System needed for curating and storing heterogenous data.
• Collecting, documenting, and maintaining records for models/code/scripts developed
• Empowering experimental research team members by providing automated software solutions
• Providing trainings to operate/leverage automated tools
• Exercises independent judgment in developing coding solutions, scripts, and software automation tools for improving analysis and obtaining results.

Skills on Resume:

• Sequence Analysis (Hard Skills)
• Pipeline Development (Hard Skills)
• Structural Modeling (Hard Skills)
• Problem Solving (Hard Skills)
• Programming Proficiency (Hard Skills)
• Database Architecture (Hard Skills)
• Documentation Management (Hard Skills)
• Training Provision (Soft Skills)

Job Summary: 

• Annotation, archiving and manipulation of big data (multi-omic data) using cloud-based computing
• Large-scale data analysis using reproducible research best practices
• Applying, reporting, and interpreting statistical findings.
• Work collaboratively as part of a team with a high level of daily independence.
• Work with customers and other internal teams to lead innovation in big data processing 
• Conceptualizing and implementing automation, testing new tools, and finding solutions to complex problems.
• Analyze NGS data and assist with a growing sequencing capacity
• Participate in code writing and modeling for custom NGS analyzation
• Design new tools and assist with training team to implement new tools
• Lead bioinformatics activities of nucleic acids across Discovery studies

Skills on Resume:

• Big Data Manipulation (Hard Skills)
• Reproducible Research (Hard Skills)
• Statistical Analysis (Hard Skills)
• Collaboration (Soft Skills)
• Innovation Leadership (Soft Skills)
• Automation Implementation (Hard Skills)
• NGS Data Analysis (Hard Skills)
• Tool Development (Hard Skills)

Job Summary: 

• Talk to collaborators and collect requirements around exploration 
• Analysis of spatial transcriptomic/epigenetic data
• Perform data analysis, and integration, propose and test scientific hypotheses, and generate scientific reports
• Develop and deploy new analysis methods to mine and integrate multi-omics data
• Early-stage development for new visualization applications
• Partner with other teams to develop experimental hypotheses
• Design combinatorial libraries of DNA constructs for gene expression
• Develop various models to analyze data that contribute to expansion of the core library
• Create compelling data-visualization presentations that accurately express findings
• Collaborate with other teams to further the development of the company’s computational infrastructure

Skills on Resume:

• Requirement Gathering (Soft Skills)
• Spatial Data Analysis (Hard Skills)
• Hypothesis Testing (Hard Skills)
• Method Development (Hard Skills)
• Visualization Development (Hard Skills)
• Collaboration (Soft Skills)
• DNA Construct Design (Hard Skills)
• Computational Infrastructure Development (Hard Skills)

Job Summary: 

• Process raw sequence data including quality control, alignment, and normalization with command line tools
• Analyze high-dimensional RNA-seq, genetic, and/or single-cell sequencing data including statistical modeling and visualization using existing R packages (e.g. limma, edgeR, lme4)
• Perform and document workflows using reproducible programming techniques (e.g. Rmarkdown, Git)
• Collaborate with other bioinformaticians on reproducible workflows, shared methods, and community code projects 
• Contribute to experimental design with downstream analyses in mind
• Work directly with bench scientists and researchers to develop scripts
• Improve data organization, management, and analysis to best serve the needs of evolving projects
• Co-author peer-reviewed publications and present at scientific conferences
• Create text, tables, figures, and charts for presentations and publications
• Provide referencing and other support for publications and presentations

Skills on Resume:

• Sequence Data Processing (Hard Skills)
• RNA-Seq Analysis (Hard Skills)
• Reproducible Programming (Hard Skills)
• Collaboration (Soft Skills)
• Experimental Design (Hard Skills)
• Script Development (Hard Skills)
• Data Management (Hard Skills)
• Scientific Communication (Soft Skills)

Job Summary: 

• Diagnoses symptoms and determines root cause within a unit of work.
• Establishing troubleshooting standards within the organization.
• Reviews and Approves procedures for assigned unit of work.
• Uses and leads rigorous logic, problem solving, and process improvement tools and efforts.
• Identifies and implements opportunities for process improvements within function and department.
• Communicates effectively across functions and manages relationships with internal and external partners and customers.
• Driving collaboration, encouraging team work, and motivating and recognizing the team.
• Removes obstacles to team work and collaboration.
• Problem solving and data interpretation computational workflow design 
• Discussion of short-term research aims and potential new research strategies 

Skills on Resume:

• Symptom Diagnosis (Hard Skills)
• Troubleshooting Standards (Hard Skills)
• Procedure Review (Hard Skills)
• Problem-Solving Leadership (Soft Skills)
• Process Improvement (Hard Skills)
• Cross-Functional Communication (Soft Skills)
• Team Collaboration (Soft Skills)
• Obstacle Removal (Soft Skills)

Job Summary: 

• Play a key role in developing comprehensive bioinformatic analysis solutions for the Genapsys NGS data
• Perform detailed bioinformatics analysis including reference genome alignment, targeted sequencing, mapping, annotation 
• Variant calling using a variety of data sets generated by the Genius platform as well as other NGS systems
• Analyze sequencing datasets to assess quality of experimental data
• Provide feedback to signal processing and algorithm teams for further improvement
• Actively participate in the ongoing development of the Genapsys sequencing technology.
• Analyses of Bioinformatic data and development of algorithms
• Collaborate closely with medical bioinformatics and maintain software and web applications
• Standardize and manage the standard operating procedures of the R&D Bioinformatics team

Skills on Resume:

• Comprehensive Bioinformatic Analysis (Hard Skills)
• Detailed Data Analysis (Hard Skills)
• Variant Calling (Hard Skills)
• Quality Assessment (Hard Skills)
• Feedback Provision (Soft Skills)
• Technology Development (Hard Skills)
• Algorithm Development (Hard Skills)
• SOP Management (Hard Skills)

Job Summary: 

• Analysis and processing of high-volume data such as next generation sequencing data
• Design, implementation, and application of tailored analysis workflows
• Interaction and collaboration with researchers and consultations
• Computational infrastructure, e.g., setup of software tools and databases
• Working in a team with bioinformatics and computational colleagues
• Training courses and education and presentation and reporting of results
• Combine research in biology, medicine, and health-related studies with information technology
• Collect and interpret data covering a range of fields, such as genetics or pharmaceuticals. 
• Support incorporation of identified sequences of value into appropriate databases or repositories
• Manage, mine, visualize and analyze biological data working closely with other professionals to achieve the broader objective

Skills on Resume:

• High-Volume Data Analysis (Hard Skills)
• Workflow Design (Hard Skills)
• Collaboration (Soft Skills)
• Infrastructure Management (Hard Skills)
• Teamwork (Soft Skills)
• Training and Presentation (Soft Skills)
• Interdisciplinary Research (Hard Skills)
• Data Management (Hard Skills)

Job Summary: 

• Develop data analysis plans in partnership with scientist needs
• Develop and apply computational methods using computer programming, commercial software
• Statistics and mathematics to solve scientific and biologic problems
• Interpret and translate findings and analyze the data
• Communicate the scientific and biological insight to scientists
• Recommend next steps to evolve the analysis and prepare visualizations in variety of forms
• Prepare data in support of regulatory submissions
• Maintenance of relevant databases, data and records (including master data)
• Work closely with medical bioinformatics and reporting team
• Pro-actively driving further improvement to reach targets.

Skills on Resume:

• Analysis Plan Development (Hard Skills)
• Computational Method Development (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Interpretation (Hard Skills)
• Communication of Insights (Soft Skills)
• Visualization Preparation (Hard Skills)
• Regulatory Data Preparation (Hard Skills)
• Database Maintenance (Hard Skills)

Job Summary: 

• Implementing analytical tools and reports on hospital outbreaks of bacterial infections
• Maintaining pipelines for NGS data, including Illumina and MinION sequencing data
• Execute genomic-based lab services for clinical samples
• Maintain organized, tested code and corresponding documentation
• Present data within and outside of the company at meetings and symposia
• Assist in writing manuscripts/abstracts/grants detailing the results of the project
• Work closely within the group and with outside collaborators
• Maintain close communications with the team regarding progress
• Monitor data integrity and quality alert team members when inconsistencies arise and help troubleshoot the problem

Skills on Resume:

• Analytical Tool Implementation (Hard Skills)
• Pipeline Maintenance (Hard Skills)
• Genomic Lab Services (Hard Skills)
• Code Organization (Hard Skills)
• Data Presentation (Soft Skills)
• Scientific Writing (Soft Skills)
• Collaboration (Soft Skills)
• Communication (Soft Skills)

Job Summary: 

• Develop and manage workflows to process large datasets such as those generated from NGS.
• Develop software applications to streamline established workflows 
• Provide researchers rapid access to data and analyses
• Analyze complex biological datasets using both established and novel methods
• Maintain database records of experimental samples and results
• Remain up-to-date about best practices and new technologies relevant to bioinformatics projects
• Share results with the BRI research community through reports and presentations
• Creation and validation of bioinformatics pipelines for the analysis of NGS data.
• Encapsulation of analysis pipelines in a scalable and robust production environment.
• Analysis of next-generation sequencing (NGS) data in support of ongoing assay and bioinformatics pipeline development.

Skills on Resume:

• Workflow Development (Hard Skills)
• Software Application Development (Hard Skills)
• Data Accessibility (Hard Skills)
• Advanced Data Analysis (Hard Skills)
• Database Management (Hard Skills)
• Knowledge Update (Hard Skills)
• Results Sharing (Soft Skills)
• Pipeline Creation and Validation (Hard Skills)

Job Summary: 

• Development and implementation of bioinformatics tools to accelerate nucleic acid amplification assay design efforts
• Establish automated pipelines to enable rapid and robust data analysis
• Drive the continuous improvement and optimization of nucleic acid amplification tests
• Apply advanced data analytics to provide a greater understanding and interpretation of data sets
• Provide data visualization tools for scientists
• Create tools for compilation of large data sets in multiple formats from multiple sources for analysis
• Design experiments to further the understanding and characterization of nucleic acid amplification assays
• Drive the continuous improvement of data analysis tools and methods used for assay design
• Provide written reports and oral presentations to executives
• Work as part of a multi-disciplinary team with other scientists, chemists, engineers and manufacturing personnel

Skills on Resume:

• Bioinformatics Tool Development (Hard Skills)
• Pipeline Automation (Hard Skills)
• Test Optimization (Hard Skills)
• Advanced Analytics (Hard Skills)
• Data Visualization (Hard Skills)
• Data Compilation (Hard Skills)
• Experimental Design (Hard Skills)
• Tool Improvement (Hard Skills)

Job Summary: 

• Develop and optimize algorithms to analyze, visualize and summarize in vitro drug efficacy data generated within the national PRISM trial 
• Support drug curation meetings in which drug screening results are shared 
• Discussed with treating clinicians and other team members involved
• Develop an integrative data analysis platform for dynamic correlations between in vitro drug efficacy data and molecular profiling data
• Support spin-off research projects resulting from the precision medicine program
• Support research projects and grant administrative activities of the Translational Tumor Biology group
• Statistical analysis for clinical and bench-side research
• Assess, understand, and implement bioinformatics tools and generate bioinformatics pipelines
• Teach, assist and mentor scientists in the field of bioinformatics

Skills on Resume:

• Algorithm Development (Hard Skills)
• Drug Efficacy Analysis (Hard Skills)
• Meeting Support (Soft Skills)
• Data Integration (Hard Skills)
• Research Support (Soft Skills)
• Administrative Support (Soft Skills)
• Statistical Analysis (Hard Skills)
• Tool Implementation (Soft Skills)

Job Summary: 

• Develop, manage, and document genome sequencing data analysis pipelines, and other algorithms and statistical models, for novel and proprietary cancer-focused next-generation sequencing (NGS) assays.
• Analyze and interpret clinical and research based NGS datasets as emerge from sequencers. 
• Work closely with laboratory and software teams to assess
• Evaluate assay changes, optimize performance, and validate results.
• Assist with deploying and improving clinical assays 
• Check the integrity of results to be reported to the clinical team. 
• Contribute to designing, implementing, and reporting quantitative quality control 
• Design and generate validation studies and reports required for clinical accreditation.
• Compile reports for partners and collaborators.

Skills on Resume:

• Pipeline Management (Hard Skills)
• NGS Data Interpretation (Hard Skills)
• Collaboration (Soft Skills)
• Assay Optimization (Hard Skills)
• Clinical Support (Soft Skills)
• Quality Assurance (Hard Skills)
• Validation Study Design (Hard Skills)
• Reporting (Soft Skills)

Job Summary: 

• Develop genomic analysis workflows as well as predictive models
• Relate phenotypes and genetics with clinical outcomes.
• Provide consultations to investigators or lab personnel about project & analysis needs, analysis results and next steps.
• Assist in grant writing endeavors for collaborative grants: bioinformatics methodology components for consulting PIs and researchers.
• Participate in research group meetings to formulate and refine research objectives.
• Attend lab meetings and continuing education programs and events.
• Participate in the writing of publications and other reports.
• Assist in the standardization and management of SOPs for the R & D bioinformatics team.
• Exploit identified sequences using approved bioinformatics tools and processes

Skills on Resume:

• Workflow Development (Hard Skills)
• Phenotype-Genotype Correlation (Hard Skills)
• Consultation (Soft Skills)
• Grant Writing (Soft Skills)
• Research Planning (Soft Skills)
• Professional Development (Soft Skills)
• Publication Writing (Soft Skills)
• SOP Standardization (Hard Skills)

Job Summary: 

• Analysis of microbiome data for unique and specialized projects
• Testing and implementing novel analysis methodologies based on customer requests
• Working closely with team members and customers to find biological signals in data
• Continuous career development through attendance at conferences/workshops
• CDevelopment of innovative algorithms and software tools for the interpretation of NGS data.
• Quality assurance processes from NGS output to ensure clinically robust reports.
• Develop and implement algorithms using omics data and in vitro efficacy data to predict effective drug combinations
• Developing a range of innovative, cloud-based software products for analysis and interpretation of genetic data generated by its test kits.

Skills on Resume:

• Microbiome Data Analysis (Hard Skills)
• Methodology Testing (Hard Skills)
• Collaboration (Soft Skills)
• Career Development (Soft Skills)
• Algorithm Development (Hard Skills)
• Quality Assurance (Hard Skills)
• Drug Combination Prediction (Hard Skills)
• Software Development (Hard Skills)