analysis of genetic, microbiome, proteomic, metabolomic data) is required, Proficiency in standard analytical platforms (e.g. 9-Month Diploma, Information Technology Institute (ITI) , Egypt, September, 2010—July, 2011 Don’t see what we are looking for: We are always looking for exceptional people to join our exceptional team; please send your resume to jobs@revivemed.io. Download Computational Biology Resume Sample as Image file, Scientist, Molecular Biology Resume Sample, Lead computational biology department working on algorithm development, statistical method development, data analysis, and pipeline development across multiple product lines, Articulate and execute on strategic plans for technology/infrastructure development in key technical areas, Engage with customers and external developers to encourage expansion of novel approaches to data analysis, resulting in a growing ecosystem of 10x’s products and their wider spread applications, Work with other departments to help develop efficient processes for product development as the company and product portfolio grows, Work closely with molecular biology and other groups to build out statistical methods and tools to drive assay and platform development for new products, Work closely with applications group to build out prototype methods demonstrating additional uses of data from 10x products, Work closely with software group to optimize systems and tools for both externally-facing software and internally-facing data analysis and exploration tools, Perform analysis of genetic, proteomic, and microbiome data generated from defined pre-disease cohorts to identify early molecular changes preceding disease development and generate predictive models of IBD risk, Analysis of multidimensional high content data sets, integration of these data sets with clinical metadata, and assessment of correlations across datasets to identify novel biomarkers, Design, characterize and optimize therapeutic candidate drugs through computational analysis of protein sequence and structure, computational protein design and engineering, Apply protein structure knowledge to predict and design biophysical properties, Develop innovative and robust analysis and computational biology tools that can be used by lab scientists, Develop and apply bioinformatics tools for advancing internal technology platforms for antibody discovery and antibody engineering and providing bioinformatics support, Work closely with laboratory scientists to develop novel therapeutic drug candidates, You work at the interface between the Computational Biology Group and BI`s Therapeutic Areas for Drug Discovery (Cardiometabolic Research, Central Nervous System Research, Inflammation & Respiratory Research, Immune Modulation & Research Beyond Borders), As Scientist you translate results from our bioinformatics pipelines (NGS mRNASeq, Target Reporting, Gene Prioritization, etc.) Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. Computational Biologist. PharmacoMicrobiomics Portal, FOPCU , March, 2011—Present R, MATLAB, Python, C/C++), Knowledge and/or interests in autoimmune and/or neurodegeneration indications a bonus, A track record demonstrating scientific creativity, collaboration, and independence, Search our large data set to find genes in classes with known pesticidal activity and to discover novel pesticidal gene classes, Work in collaboration with biochemists to prioritize strains for activity guided fractionation based on genome sequences, Interpret basic biochemistry literature relating to gene function, Ph.D. with minimum years’ relevant experience, MS with minimum of (2) two years’ relevant experience, or BS with minimum of (5) five years’ relevant experience in bioinformatics, statistics, microbiology, genetics or a related field, Strong mastery of a subset of bioinformatics, machine learning or statistics skills, Extensive knowledge of at least one scripting language, e.g. You’re part computer scientist, biologist, geneticist, mathematician, statistician, chemist, and physicist. and database (e.g. ▪ Major: Biotechnology August 2012 – Present. Organization Type Pharma. Salary estimates are based on 166 salaries submitted anonymously to Glassdoor by Computational Biologist employees. When writing a Computational Biologist Resume remember to include your relevant work history and skills according to the job you are applying for. iTree: scalable multithreaded phylogenomic pipeline, AUC , November, 2011—August, 2014 ▪ Categorized and maintained Arabic calligraphy collections R&D Systems, Worthington, OH. I seek a part-time/freelancing job to finance my PhD studies. Your hiring manager will likely not study a difficult to read resume for very long. Computational Biologist. Fluent verbal and written English language skills are required, Demonstrated experience in applied probabilistic modeling/machine learning, Competent programmer fluent in Unix/Linux, Perl or Python, and R or Matlab or equivalent, Working knowledge and understanding of molecular and cell biology, Basic understanding of molecular profiling, Strong interpersonal, oral, and written communication skills, Previous experience in cancer biology is a plus, As a Director you are overall responsible for leading and managing the research group Computational Biology & Genomics (~20 reports) within the department Target Discovery Research, You will hold the entire responsibility for generation of necessary RNA/DNA-sequencing data using NGS or single cell analysis (internal lab and CRO), statistical and biological analysis and interpretation of internally produced and externally available biomedical data, In your role you will contribute to the generation of New Therapeutic Concepts and discovery of novel biomarkers in collaboration with Therapeutic Areas Immunology & Respiratory, Cardio-Metabolic, CNS-diseases, Cancer Immunology and Research Beyond Borders, You are responsible for setting up and managing a network of external collaborations with the focus on New Therapeutic Concept generation and biomarker discovery, As a Director you are accountable for budget and headcount of the Group Computational Biology & Genomics, You contribute to the coordination of global Computational Biology data and expertise platforms in collaboration with other Boehringer Ingelheim research centers in Vienna (AUT) and Ridgefield (US). State of the art ML models implementation, team management/ work under challenging environment, technical aptitude and learning skills to adapt the rapid changing technologies and implementing the same at work, very goal-oriented and always finding solutions and work-arounds even if they are not obvious, • Senior Member Institute of Industrial Engineering • Senior Member Society of Manufacturing Engineers • Member American Institute of Steel Engineers • CBOE Options Master Certificate, Institute of Analytics Professionals of Australia, International Society for Bayesian Analysis, International society for computational biology, Philosophical Association of the Philippines, Secretary IEEE SPS Chapter of IEEE Gujarat Section, Society of Industrial and Applied Mathematics (SIAM), South African Statistical Association (SASA), The International Society for Business and Industrial Statistics, www.developpez.net/forums/f1179/autres-langages/autres-langages/r/, Testing the Effect of Data Imputation on Model Accuracy, Materials from Explanatory Model Analysis Workshop @ eRum 2020. Determined and utilized effective computational techniques to develop analysis tools. Open your resume with a three- to five-word personal headline tailored to the job you're applying for. ▪ Major: Marine Biology I am a computational biologist affiliated to the Department of Data Sciences and the Department of Medical Oncology at Dana-Farber Cancer Institute, and the Broad Institute of MIT and Harvard. Register as a Job Seeker to submit your Resume. Avoid distracting elements such as bright colors or logos. ▪ University: Jacobs University Bremen (JUB) Filter by location to see Computational Biologist salaries in your area. The Transcription and Chromatin Regulation Laboratoryis recruiting a talented and motivated Research Fellow in computational biology or data analytics who is interested in developing machine learning approachesto study the changes of genomic and epigenomic profiles (e.g.enhancer-gene interactions) during cancer progression. By applying to this job, you will be considered for all Associate Computational Biologist I (ACB) opportunities across The Broad Institute.Available for Spring 2021 graduates only. ... Resume Templates Choose resume template and create your resume. Send; Save . Archivist , Rare Books and Special Collections Library, AUC, September, 2013—June, 2014 I am a Research Fellow at Harvard Medical School, and a freelance computational/molecular biologist for hire. Riddler: Can you solve the not-so-corn maze? You support others and drive projects as the responsible computational biologist, You take part in infrastructure development by implementing analysis modules/pipelines and automation of interactions between infrastructure components, or requirements analyses for such systems. For example, 19.9% of Computational Biologist resumes contained Python as a skill. We are searching for motivated graduate students in computational biology. Doctoral Student, Alfred Wegener Institute for Polar and Marine Research (AWI) , Germany, July, 2014—Present ▪ Program: Helmholtz Graduate School for Polar and Marine Research (POLMAR) Apply to Biologist, Software Engineer and more! Here’s some more about me and details about my research. into new therapeutic concepts, biomarkers and improved drug discovery screening strategies, You work successfully in interdisciplinary teams with internal and external collaborators, You develop strategies to fill gaps in the computational biology tool portfolio of BI, You design next generation sequencing (NGS) experiments and apply bioinformatics tools for NGS data analysis & interpretation, You represent the team in interdisciplinary drug discovery projects of BI, You have excellent knowledge of applied bioinformatics, Experience with R, PERL or Python, SQL are highly desirable, Ability to effectively interpret and communicate conclusions from complex data is essential, Demonstrated ability to formulate and test hypotheses by designing and implementing computational approaches relevant to drug discovery efforts, Expertise in computational biology, structural biology with an ability to guide collaborate with lab scientists on experimental methods, Proficient programming skills and computational analysis background, Proficient in computational design tools (ROSETTA, MOE, PyMOL, Schrodinger Suite), Proficient written and verbal communication skills, particularly of complex information and concepts, Creative, innovative thinking and experience analyzing protein sequences and structure, Developing and benchmarking predictive models, Ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs, A minimum of a Doctoral degree (e.g., Ph.D.) is required in Computational Biology, Bioinformatics, or a related discipline, Strong R and BioConductor programming skills are required, Experience working in Unix/Linux environment is required, Oncology and/or immunology experience is preferred, Experience with high dimensional data integration, next generation sequencing analysis, gene expression analysis, survival analysis and biological network inference is preferred, Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis and linear/nonlinear mixed effects modeling is preferred, Scripting language experience (e.g. ▪ Introduced to quality control procedures and equipment in microbiology, pyrogen, TLC and HPLC units, DEVELOPMENT PROJECTS Outstanding masters or undergraduate candidates will be considered, Independent, with a demonstrated ability to work on a team, Outstanding programming and data visualization skills, Solid understanding of human genetics and inheritance, Machine learning and/or statistics experience desired, Previous research experience in bioinformatics or population genetics desired, Basic knowledge of genomics, cancer biology and genetics, Hands-on experience in genomics data analysis, Familiar with basic bioinformatics tools/algorithms such as data normalization, DEG analysis etc, Strong programming skills in R or other languages, Working experience in Linux, cluster, and/or cloud environment, Integrate data across multiple public datasets and platforms to identify new targets, evaluate external opportunities, and influence clinical trial decisions, Apply published computational approaches to generate key insights, Develop or maintain data management workflows, Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required. Python or R, and a wide range of contemporary, open-source informatics tools and database structures in Linux & cloud computing environments, Developing QTL analyses and network-centric approaches for carrying forward genetic variations into mechanistic insights, Pioneering deep-learning algorithms for biomedical research, Deriving novel insights using longitudinal progression-based patient records, Experience with public datasets GTEx, ENCODE, ADNI a plus, Experience with relevant programming/scripting tools (e.g. Developed an analysis/database software package to analyze and annotate human EST sequences generated by internal target screening pipeline, as well as to store, track and analyze data from screening and gene expression assays. S/he should have a strong fundamental biology background with statistical computing experience, Excellent communication skills with a demonstrated interest in working on multi-disciplinary teams and collaborative research. (French and Spanish only beginners level), Spanish and German good / Italian and French basic, - Coursera online course: Mining of Massive Datasets, - Data Scientist training: Big Data Architecture at Fraunhofer IAIS, - edX online course: Introduction to Big Data with Apache Spark, • Lead medium sized teams for Production Support and handle multiple tasks with strong interpersonal, Currentlly serving as a officer in Toasmasters Internationals, Efficient Written and verbal communication, excellent organization and communication skills, Experience in analyzing the Enterprise IOT using big data ecosystem, Geovisualization Tools applied to marine biology, Good Presentation and Communication Skills, implementation resourcing and problem resolution. To accomplish this goal, the candidate is expected to present his/her research at international conferences and to publish in high-impact, peer-reviewed journals, Supervise a small group of technicians and undergraduates, Collaborate and develop strong working relations with relevant ENIGMA teams on experimental design, data analysis, and long-term project planning, Present findings in conferences and peer-reviewed journals in addition to seeking out and acquiring extramural funding (including postdoctoral fellowships), Work with ENIGMA environmental microbiology team to isolate key microorganisms from field samples, PhD in Biology, Microbiology, Genetics, Biochemistry, Molecular Biology, or related field, Demonstrated experience in managing multiple projects and in corresponding with scientific collaborators, Demonstrated success in the publication of high-impact work in internationally recognized peer-reviewed journals, Strong organizational and record keeping skills, Effective interpersonal skills and demonstrated ability to work in a team environment with a diverse group of scientific and technical personnel, Demonstrated ability to acquire extramural funding, Experience in environmental microbiology or systems biology, Strong and proven abilities to use computation to advance knowledge and application of biology, Strong collaboration and communication skills, Move with speed- decisiveness and simplicity of process, Value diversity of thought in decision making- “The art of thinking independently together.”, Develop and execute molecular and structural bioinformatics-based projects focused on weed, disease and pest control, Drive innovative solutions to bottlenecks in our protein engineering workflow by designing statistically sound feeding assays and finding novel ways to incorporate structural and molecular bioinformatics models to suggest target sites for protein improvement, Use machine learning on large genomic and phenomic data sets to find novel pesticidal gene classes, Predict binding sites based on comparisons of pesticidal gene secondary structure and host-receptor binding assays, Determine which components of genetic networks are required to recapitulate a phenotype in a heterologous system, A PhD in bioinformatics, statistics, microbiology, genetics or a, Strong mastery of a subset of bioinformatics, machine learning or, A history of success as a driving force in research projects, Education/Experience: Bachelor's degree with 2-3 years’ experience or a Master's degree with 0-2 years’ experience or a PhD, Education/Experience: Master’s degree in the field of computational biology, microbiology, biochemistry, or engineering, or a related discipline with three years’ experience or PhD in the same fields, Experience in computational analysis and modeling of high-throughput data for systems biology projects, Experience with laboratory techniques for high-throughput data analysis, microbiology, and or molecular biology, Experience with programming languages (R, Python, and/or C), Depth and breadth of knowledge in host and pathogen biology and interactions, Experience on highly collaborative interdisciplinary teams, Write python code for pipeline automation, Perform bioinformatics tasks (including sequence based analysis and annotations), Candidate must be currently enrolled in, or recently completed degree in Bioinformatics, Biostatistics, Computational Biology, or a related field, Experience in handling protein sequence and small molecule data, Computer programming skills, such as Python is required, Experience with other programming languages like Java & R, and experience with machine learning packages is highly desirable, Active participation as a core team member in the Protein Homeostasis TCoE and RIKU Research Analytics group, Develop and apply leading-edge computational analysis and biological interpretation approaches to leverage internal, public and partner datasets and empower data-driven decisions across compound development programs, Multi-disciplinary collaboration to investigate compound and disease properties, influence decision making across the early development of novel therapies, and leverage disease stratification efforts to accelerate patient selection hypotheses ahead of clinical application, Integrate data across assay platforms and transfer knowledge from pre-clinical experiments to clinical trials, Author scientific reports, and present methods, results and conclusions presented to publishable standard, Ph.D. in computational biology, bioinformatics, or related field from a recognized higher-education establishment, 6+ years experience applying quantitative approaches to solve biological problems in university, hospital, pharma or biotech research environments, Experience in computational biology research on a wide variety of cell and molecular profiling platforms, with considerable depth of experience in MS proteomics data analysis, Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. Years ), questionnaire construction and validation, SALES/CR – Product, proposal drafting as well strategic... 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