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More Bioinformatics Jobs

Bioinformatics Programmer Analyst Sr.

Philadelphia, PA

Bioinformatics Programmer Analyst Sr. University Overview... The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. COVID-19 vaccination is a requirement for all positions at the University of Pennsylvania. New hires are expected to be fully vaccinated before beginning work at the University. For more information about Penn's vaccine requirements and the use of Penn Open Pass, visit the Penn COVID-19 Response website for the latest information. Posted Job Title Bioinformatics Programmer Analyst Sr. Job Profile Title Application Developer Senior Job Description Summary An experienced bioinformatician to join a team of 40+ developers whose role will include interfacing with scientists to acquire and become familiar with key genomic-scale datasets and building tools to load these data and associated metadata into relational databases. The candidate will work collaboratively with other VEuPathDB developers across multiple operational teams to translate requirements generated by our scientific and clinical user communities into effective data representations and web interfaces (including applications), using appropriate statistical and algorithmic approaches. Job Description The Eukaryotic Pathogen, Vector and Host Informatics Resource ( is a large, multi-institution project that develops scientific data-mining websites used by researchers worldwide to study selected vector, microbial pathogen such as those responsible for malaria and enteric disease and fungi. VEuPathDB models and presents genomic, post-genomic, systems biological and clinical epidemiology studies in intuitive, data-mining interfaces. Duties: We seek a biologist or statistician with experience in bioinformatics & computer programming -- or a computer scientist with experience in bioinformatics -- to join an established team of 40+ developers and biologists to develop and maintain, a set of highly-visible websites that integrate diverse genomic datasets relevant to global infectious disease biology. VEuPathDB supports research by tens of thousands of researchers worldwide working on eukaryotic pathogens (protozoan parasites, pathogenic fungi) or invertebrate vectors of infectious disease. The successful candidate will interface with scientists to acquire and familiarize themselves with key genomic-scale datasets, build tools to load these data into a relational database, and integrate data into VEuPathDB websites. This candidate will also work collaboratively with biologists and software developers to translate requirements generated by our scientific user communities into effective data representations and web interfaces / applications, using appropriate statistical and algorithmic approaches. The candidate should have experience working collaboratively (e.g. using git) within a Linux environment, and is expected to be proficient in a scripting language (e.g. Perl, Python). Candidates with experience in SQL, R, Nextflow, Groovy, Docker, or web development are strongly preferred. Participation in the preparation of technical documentation and attendance at relevant professional meetings is encouraged. Note that this candidate will join a long-standing project that is spread across multiple performance sites. The successful candidate will be based either at the University of Georgia or the University of Pennsylvania. Qualifications: BS in computer science, bioinformatics, biostatistics, biology or related field and 3-5 yr relevant work experience, or equivalent combination of education and experience is required. Masters or PhD highly preferred. An active interest in and experience with bioinformatics and biostatistics applications is required, and experience in genomics is a strong plus. Working knowledge of and experience with UNIX, R and a scripting language such as Perl or Python are all highly desirable. An active interest in web programming (JSP, CSS, Javascript/Typescript and React or similar framework) is desirable, and experience is a strong plus. Expected salary range for this position: $60,000 to $105,000. • For consideration, please submit a brief cover letter as well as a resume in the CV section of your application. You can upload multiple documents to the "Resume/CV" section. Working Conditions Office, library, computer room Physical Effort Typically sitting at a desk or table Job Location - City, State Philadelphia, Pennsylvania Department / School School of Arts and Sciences Pay Range $61,046.00 - $132,906.66 Affirmative Action Statement Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Special Requirements Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family—whatever your personal needs may be. • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement—and you and your family can enjoy many of these activities for free. • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. ​ To learn more, please visit: To apply, visit Copyright ©2022 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-69cd79881c789345a4b64c972bdef61b

Bioinformatics Scientist I

Denver, CO

Are you ready to take your Bioinformatics skills to the next level and join a company that thrives on Discovery? If yes, I have the perfect position for you! Imagine a world where you could detect health issues sooner to treat them more effectively. Where food and water are always safe, even in remote corners of the earth. And where scientific and medical research are enhanced to solve the... greatest challenges of our times. At PerkinElmer, we imagine this world every day. Then, we innovate and collaborate to make it happen everywhere. Our dedicated team of about 16,000 employees worldwide, pioneers scientific technologies for better detection, imaging, and informatics to help our customers work to create healthier families, improve the quality of life, and sustain the well-being and longevity of people globally. If you are seeking a meaningful, impactful, and stimulating career, look no further. Summary We have an exciting opportunity based in our US office working at the forefront of the gene editing (CRISPR knock-out, HDR, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist I, you will have the opportunity to apply your bioinformatics background, data analytical knowledge, and programming skills to make key contributions in support of Horizon’s gene perturbation and drug-target discovery screening platform. In addition, you will work with the bioinformatics team to assess, review, and develop new analytical and data science techniques to better identify and characterize genes of interest. Responsibilities • Work with senior bioinformatics scientists to develop, test, document, and support bioinformatics tools • Curate, analyze, and interpret complex data sets • Collaborate with scientists, product managers, and software engineers to understand and address the complex emerging needs of our scientists and customers • Build, curate, and query databases of gene editing/modulation and cell line engineering data • Prepare high quality client facing data packages and reports • Contribute to peer-reviewed manuscripts and deliver research presentations Requirements • MSc/PhD (or equivalent experience) in bioinformatics, computational biology, chemistry, physics, statistics, computer science, or a related field • Experience analyzing and interpreting complex data • A strong background in statistics and a keen interest in improving data analytical tools and methodologies • Experience programming in Python or R • Team player - enjoys collaborating with others to achieve shared goals and objectives Desirable Competencies & Requirements • Bioinformatics experience • Knowledge of version control (e.g. Git) • Fluent in Python and experience in other languages (e.g. R, Matlab) • Some familiarity with Bayesian statistics and machine learning techniques • Experience analyzing large and sparse data sets • Some experience handling or processing Next Generation Sequencing (NGS) data • Practical experience deploying and supporting pipelines/applications in an enterprise environment The salary range for this role is $89,000 - $100,000. This is the good faith range we believe is possible compensation for this role at the time of posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in Colorado. This range may be modified in the future

Bioinformatics Analyst


Invitae is dedicated to bringing comprehensive genetic information into mainstream medicine in order to improve healthcare for billions of people. The Clinical Informatics team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry by making clinical-grade genetic information affordable and accessible to guide health decisions across... all stages of life. We are further building our team with junior members who will be working directly with production data on a daily basis. The team as a whole is responsible for the evaluation of the truth of clinically reportable variants and is often required to investigate unique genetic or genomic signals identified in production data. All of the team’s work directly impacts patient results, making problem-solving both motivating and rewarding. What You Will Do • Work collaboratively with other teams such as bioinformatics, clinical genetics, laboratory scientists, laboratory directors, and research scientists • Troubleshooting quality control anomalies generated by automated pipelines • Visualizing and assessing specific genetic variants and analyzing NGS data • Analyzing results from assays What You Will Bring • Bachelors degree in bioinformatics, or a related discipline and 2+ years related work experience or an advanced graduate degree in bioinformatics or related discipline or equivalent work experience • Experience with NGS data analysis in either academic or industry environment • Familiarity with common NGS alignment, variant calling, and visualization tools • Strong knowledge of genetics • Bonus: Familiarity and/or hands-on experience with NGS wet lab protocols, preferably in a production setting • Excellent written and verbal communication skills • Preferred: able to work on-site at San Francisco location, but open to remote candidates • Position requires availability either normal business hours M-F (with occasional weekend duties) or a shifted schedule of Su-Th or Tu-Sa. At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance

Principal Bioinformatics Scientist, Molecular Assays

Washington, DC

We are seeking a talented and highly motivated Principal Bioinformatics Scientist to support development of Roche Diagnostics Molecular Assays that will impact patient care globally. This position requires a broad understanding of assay development on multiple technologies such as NGS, PCR, digital PCR, and microarray. The candidate will work closely with Bioinformatics, wet lab scientists and... external customers to develop and maintain internal algorithms and tools to support the Ariosa cell-free DNA System (AcfS) and development of PCR and NGS assays. Responsibilities: • Collaborate with Bioinformatics and wet lab scientists to envision, implement, and support tools for assays development • Lead scientific business analysis efforts to understand both internal & external customers needs • Provide hands-on troubleshooting to ensure data accessibility, quality, and integrity • Follow best practices for documentation and training of algorithms and tools • Present and communicate team activities/project results across multiple functions in the organization Required Skills & Experience: • Masters degree in Bioinformatics, Computational Biology, Statistics, Computer Science or a relevant subject area plus a minimum of 3+ years of proven experience • Strong statistics skills and proficient in using programming languages (R, Python) in a distributed Linux environment • Have good understanding of biology and IVD • Proven track record of supporting scientific informatics efforts. Ability to independently implement informatics solutions • Excellent written and verbal communication and scientific presentation skills • C++ or Java proficiency is a plus • Detail oriented and committed to delivering high quality clinical products Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, weve become one of the worlds leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated againstCOVID-19 in accordance with customer requirements, the companys health and safety obligations and/or applicable law or guidelines. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individuals race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in connection with the on-line application process, please email us Job Level: Individual contributor

Senior Scientist I/II, Machine Learning Bioinformatics - (REMOTE...

Cambridge, MA

About AbbVie AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its... Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in clinical trials. Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. We have an exciting opportunity for a Senior Bioinformatics Scientist, based in North Chicago IL, Cambridge, MA or Remote. The candidate will work closely with computational biologists and research project teams in Immunology discovery to analyze genetics and multi-omics datasets to derive insights into immunological diseases, identify novel therapeutic targets and biomarkers specific to patient cohorts and Abbvie pipeline drugs. Key Responsibilities • Collaborate with research and bioinformatics scientists to conceive informatics analysis strategy leveraging advanced machine learning/AI algorithms to support discovery and pre-clinical studies. Specific applications can be but not limited to single cell sequencing data integration and analysis, digital pathology and molecular data integration, etc. • Draft specific project analysis plans and execute them per project analysis needs leveraging publicly available algorithms and libraries and internal computing infrastructure. • Collaborate with systems engineers from Abbvie AI team to build necessary computational infrastructure and pipelines. • Identify relevant internal and external immunological datasets and knowledge resources. Propose and execute computational research leveraging these integrated datasets. • Be abreast with most current machine learning/AI analysis methodology and algorithms and introduce them in-house when appropriate. • Communicate analytical results verbally and in writing for scientific and technical audiences and journal publications. Qualifications Position will be hired based on level of experience & education. • PhD in bioinformatics related quantitative sciences (such as computer science, applied mathematics, statistics, biomedical engineering) with biomedical data analysis experience. • 3+ years of project- based experience applying machine learning to knowledge graphs and other large- scale complex data is preferred. • Fluenct in Python or R with expertise in machine learning packages such as PyTorch, Tensorflow, and scikit-learn. • Ability to summarize analytical results, derive interpretation and recommend follow up actions to peer scientists. • Demonstrated ability to develop and execute custom computational and statistical analysis plans leveraging novel algorithms and relevant databases and statistical theory. • Prior working experience embedded within a biomedical research team. • Strong communication skills, innate scientific curiosity and collaborative team spirit. Preferred Qualifications • Working experience in biopharma industry. • Working experience with Spark/Hadoop. • Fluent with architecting cloud-based pipelines, including data modeling, indexing, and ETL (experience with Redshift/BigQuery, Apache Beam, Spark) • Experience in single cell data analysis (scRNAseq, CITE/REAP-seq, CyTOF) on immune datasets. • Genomics and genetic data analysis (populational or disease centric) experience. • Collaborative experience with system engineers. Significant Work Activities N/A Travel No Job Type Experienced Schedule Full-time Job Level Code IC Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic

Bioinformatics Analyst II, Plant Molecular & Cellular Biology...

San Diego, CA

The CRoPS project aims to develop crop plants that sequester more carbon via extensive root systems containing recalcitrant carbon polymers to fight climate change. A major component of this research is to conduct genetic and genomic analysis for understanding traits relevant for this. Many of the genetic analysis depend on image acquisition and image processing.The Bioinformatics Analyst II will... work closely with other members of the CRoPS project and the Busch laboratory to advance image acquisition image processing, statistical genetics and genomics research projects. The analyst will contribute directly to research projects in the CRoPS project in the context of several computational analysis areas by implementing, optimizing and executing computational approaches for image segmentation and analysis, genome wide association mapping, genome sequence analysis, transcriptome analysis, and data visualization. Finally, the analyst will play part in administrating shared computer resources, such as compute and storage servers.ESSENTIAL FUNCTIONS Research Design and Presentation (5%) • Contribute and assist with project inception, experimental design, analysis and manuscript presentation • Assist with the preparation of data for, manuscripts, publications, grant applications, posters and other presentations • Present results verbally and with visual aids in one-on-one meetings, group meetings, or conferences • Maintain lab notebook, including experimental design, time, methods, materials and results Bioinformatics Analysis (85%) • Assist Institute researchers and contribute to scientific discovery by implementing, optimizing and executing computational approaches for image segmentation and analysis, genome wide association mapping, genome sequence analysis, transcriptome analysis, and data visualization • Work independently or with limited supervision on informatics research projects under direction from senior core staff or with research collaborators • Use published pipelines, scripts, and tools to prepare and process large datasets • Work in a high-performance computing environment • Keep informed of new developments and technical advances in the bioinformatics, image processing, visualization, genomics and biological fields related to current projects • Research, implement, and test, and present on new tools and pipelines for high throughput data analysis • Participate in the design and coding of analysis pipelines and cutting-edge bioinformatics analysis algorithms • Participate in the design, coding, and presentation of novel analysis tools for cutting edge bioinformatics analysis • Present advanced analysis results, tools, and pipelines at group meetings and contribute to publications in scientific journals ICG Bioinformatics Core Facility Maintenance and Management (10%) • Help maintain core scripts, software, website, tools, wiki, and pipelines • Help ensure that lab servers and hardware are operating properly and report all possible problems • Help users of lab software and servers to troubleshoot potential problems • Liaise with IT department and manufacturers with regard to hardware maintenance EXPERIENCE Required: • 4 years related experience or equivalent combination of education and experience. • A minimum of 1 year analysis experience with image analysis • Programming experience • Fluency in at least 2 common programming languages (Perl, Bash, Python, CIC++, Java, or R) • Experience in high performance computing • Good presentation and communication skills Preferred: • Experience with machine-learning algorithms and/or computational modeling • Experience with GPU computing • Experience with deep learning based image segmentation • Experience in statistics and machine • Experience in biology • Background in next-generation sequencing technologies and EDUCATIONRequired: • Bachelor’s degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics or related discipline or equivalent experience. Preferred: • MS or PhD degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics, or related discipline. SKILLS AND ABILITIES Required: • Proven organizational and time management skills to successfully set priorities, meet established deadlines and recognize new problems with constantly changing priorities and frequent interruptions • Strong communication skills (both verbal and written) needed to interact professionally and effectively in the work environment. Ability to read, comprehend, and discuss research materials. Proven ability to write, edit and proofread research results. Skill at explaining difficult concepts and training users and discuss • Ability to interact diplomatically and professionally with all levels of Institute staff and external contacts tools • Ability to identify, download, install, troubleshoot and assess new analysis tools • Experience analyzing images • Experience with Standard business office equipment and commonly used software and tools, such as Microsoft Office , electronic mail, and the internet Preferred: • Experience applying machine learning approaches for image processing, data integration and data mining • High proficiency in scientific programming languages (Perl, Python, C/C++, Java, R or Web applications) • Demonstrated knowledge and experience with MAC or Linux/UNIX operating systems • Experience in performing image analysis unsupervised and in recommending modifications to algorithms and workflows to meet the needs of research projects. Demonstrated ability to contribute to experimental design and assist with the analysis and interpretation of results • Theoretical and practical knowledge of biological sciences (particularly genetic and molecular biology). SPECIAL CONDITIONS OF EMPLOYMENT • Satisfactory completion of the lnstitute's background • Must be willing to sign confidentiality agreement • Must be willing to work in an animal-related research environment PHYSICAL REQUIREMENTS/MENTAL ACTIVITIES/ENVIRONMENTAL CONDITIONSThis position will be constantly adjusting focus, grasping, handling, hearing, keying, seeing, sitting, talking, touching/feeling, analyzing, calculating, communicating, reading, reasoning, writing and working inside

Genomics Data Scientist


Job Desc Create tools, including developing, prototyping, and validating new features for genome analysis to enable better diagnostics andclinical management. Develop tools and algorithm for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants Developing, prototyping, and validating new features for genome analysis Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities Qualification Ideally a master or PhD in a strongly quantitative discipline such as (e.g. data science, computer science, or maths) with experience as data scientist working on bioinformatics, or equivalent experience, in one of the following: genetics/genomic with a strong computational component, statistical genetics, genetic epidemiology, bioinformatics with the focus on human genomics. Experience with NGS data analysis from sequencing QC to annotation... and variant calling. Able to write in R, Python and Perl Statistical background in multivariate analysis is a plus

Data Scientist - Bioinformatician


Requirements: • Bachelor or Master of Science in Biotechnology, Biochemistry or in science-related fields • 2 years of relevant experience, generally as a bioinformatician and hands-on analyzing microarray genotype data • Have qualified knowledge in the field of molecular biology, human genomics and data population • Proficiency with R and Phyton are plus points • Excellent interpersonal, oral, and written communication skills • Ability to work independently as well as in teams • Strong background in bioinformatics and/or computational biology Key Responsibilities for the Data Scientist (Bioinformatics) include: • Perform quality analysis of human based on genotyping data • Conduct research and applied statistical genetics analyses • Present statistical data for sample characteristics and genotyping results, report and visualization to R&D Team and stake holder • Assist in development of analysis pipelines and internal database and findings • Collaborate with geneticists and... technology team in the development of genomics application • Contribute to establish protocols and scientific publications

Genomics Data Scientist


Job Desc: • Create tools, including developing, prototyping, and validating new features for genome analysis to enable better diagnostics andclinical management. • Develop tools and algorithm for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants • Developing, prototyping, and validating new features for genome analysis • Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities Qualification: • Ideally a master or PhD in a strongly quantitative discipline such as (e.g. data science, computer science, or maths) with experience as data scientist working on bioinformatics, or equivalent experience, in one of the following: genetics/genomic with a strong computational component, statistical genetics, genetic epidemiology, bioinformatics with the focus on human genomics. • Experience with NGS data analysis from sequencing QC to... annotation and variant calling. • Able to write in R, Python and Perl • Statistical background in multivariate analysis is a plus

Bioinformatician - qPCR and annotation directions


Position Overview: We are hiring a bioinformatics specialist interested in developing a clinical decision support for implementation of genetics in clinical settings. The person will be responsible of building analytical pipelines forpatients’ genomic, demographic, and individual data, as well as working with our senior software engineer tointegrate our knowledge base with existing EHR systems. The ideal candidate has experience in buildingclinical annotation and analysis pipelines related to patients’ genomics, demographics, and individual data. Key responsibilities • Develop, maintain, and improve qPCR-based and recommendation-based bioinformatics pipelines; • Curate real-world evidence using programming languages; • Document bioinformatics pipelines according to ISO standards; • Develop and support novel bioinformatics solutions for external collaboration projects; • Implement new methods in genetic data analysis and product development • Ensure relevance and accuracy of... our clinical decision support Experience required • Experience in working with qPCR data • Firm understanding of human genetics and association studies • Knowledge of genomic data exploration/analysis/visualization with R/Python and Bash. • Analytical pipeline development and optimization • Familiar with commonly used development tools, such as MySQL, AWS EC2, and lambda • Good documentation and organizational skills • Ability to work with collaborators on existing research projects. • Independent, with a positive attitude and a good team player. Minimum education qualification • Bachelor or Master’s or PhD in Computational Biology, Bioinformatics, or a related field. Technical Skills (preferred) • MySQL • AWS • EHR systems (any) About Nalagenetics Nalagenetics is a venture backed Singaporean company aiming to increase efficacy of prescription and reduce adverse drug reactions using genetic testing and information management systems. We develop core capabilities in three areas: affordable genetic testing, clinical decision support (CDS), and web/app for post- prescription follow up. Since April 2016, we have deployed 1,000 of our leprosy test in Papua to prevent Dapsone Hypersensitivity Syndrome (DHS) in leprosy patients. We were incubated at Harvard’s Venture Incubation Program and Harvard Business School’s Rock Accelerator and Summer Fellowship, and accepted in Techstars NY. Nalagenetics is mission-driven: two of our co-founders have seen first-hand adverse reaction through close family members- that experience taught us advanced innovations are in pharma and biotech would not mean much without knowing how to best apply it to our population.

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