Bioinformatics Jobs

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

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

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. https://www.nalagenetics.com/#/blog-detail/career-opportunity-bioinformatician-qpcr-and-annotation-directions

Invitae is a rapidly growing, purposeful company. Our mission is to empower doctors and patients with genetic information to help them make informed medical decisions at all stages of life. The Integrated Risk Assessment Platform plays a meaningful role in rapidly growing our understanding of genomic health and personalized medicine. We have an opening for a Bioinformatics Scientist who has... expertise modeling the association between disease phenotypes and complex genomic and clinical data. The responsibility will be to design modeling experiments and assess the performance of integrated risk assessment tools that incorporate genetic and non-genetic risk factors to predict the likelihood of complex diseases. What you’ll do: • Generate and test risk models, including polygenic risk, for providing personalized risk assessment tools for complex diseases. • Overcome current GWAS limitations by providing accurate polygenic risk scores for diverse ancestries. • Identify and integrate genotype and phenotype data from both external and internal data sources. What you bring: • Advanced degree in Population Genetics, Epidemiology, Bioinformatics, Biostatistics, or a related field. • At least 2 years of experience in designing, implementing, and/or interpreting genome-wide association studies. • Experience with low-coverage whole genome sequencing and genotype imputation is advantageous. • Ability to independently lead and conduct research, and to evaluate, interpret, and present complex genotype and phenotype data. • Expertise in Python, GitHub, high-performance computing tools. • Capacity to work efficiently within functionally diverse teams and collaborate with external investigators and partners in academic and industrial settings. • Excellent verbal and written communication and presentation skills. • Reliable teammate with strong interpersonal skills. 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. #LI-Remote #LI-JM1

Job Description We are currently seeking a highly motivated and team-oriented candidate for the position of Bioinformatics Scientist, with expertise in multi-omics data signaling and biological network analysis and applications in the drug discovery and development field. The successful candidate will be working in translational sciences team covering the main aspects of, but not limited to... multi-omics analysis of biomarkers and pathways with AI/ML platform integration for drug PD and efficacy parameterization, descriptor development, and patient stratification facilitating identification and elaboration of different modalities in various therapeutic areas. Responsibilities • Contribute to the development and testing of novel and traditional bioinformatics tools to analyze potential pathways and associated networks from drug-target engagement in the context of multi-omics outcomes • Contribute to the development of multi-omics driven models for the collection, extraction, analysis, presentation, or tracking of data related to disease pathways, potential therapeutic targets, and drug pharmacodynamics. • Use bioinformatics approaches for the development of the research strategy dedicated to the discovery and development of the new pharmaceutics for internal projects as well as in collaboration with private and federal organizations. • Perform computational research data analysis and interpret results. • Use scripting languages (R, Python, SQL, etc) to retrieve relevant data from various bioinformatics databases; write custom scripts to analyze public or proprietary data. • Build computable phenotypes for disease, drug effects, and other conditions using combinations of EHR data and survey data • Interpret and visualize results from data aggregation to statistical analysis. • Communicate findings in a clear and logical manner to help the Translational Science team make scientific decisions based on the multi-omics outcomes. • Considerable periods of time may be spent concentrating and or analyzing data. Education/Experience: • Ph.D. in Bioinformatics, Computer Science, Biostatistics, Computational Biology, Life Science, or related technical field. • Postdoctoral experience in bioinformatics • Experience in the Pharmaceutical or Biotech industry is a plus • Experience in performing research work and analysis of the -omics data, in particular, transcriptomics datasets. • Solid understanding of next-generation sequencing, genomics technologies, and applications, ability to broaden knowledge to adjacent products. • Demonstrated ability to successfully use database language for queries (e.g., SQL). • It would be a big plus to have: • Knowledge and experience with PCR assay oligo design. • Experience implementing machine learning models. Knowledge, Skills, Abilities • Knowledge of molecular biology fields, NGS, omics analysis. • Excellent data analysis skills and working knowledge of statistical methods • Expertise in scripting language – R and/or Python • Ability to work well in a fast-paced startup environment, delivering high-quality results under tight timelines • Ability to prioritize and drive results with a high emphasis on quality. • Ability to synthesize high-level concepts, drive projects forward, while maintaining attention to detail • Excellent critical thinking and skills with proven scientific expertise in biological pathways and bioinformatic techniques. • Strong team player: the ability to work together with your team as well as cross-functionally and even across institutions, to accomplish your goals. VeriSIM Life is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability

The Position The Position... Genentech is inviting applications for a Computational Biologist to join the Department of Human Genetics as a Senior Scientist. Genentech has access to vast, and growing, repositories of genetic, genomic and clinical data, gathered from internal studies (including many of our trials), as well as collaborative and public external data sets. The Senior Scientist appointed to this position will play a pivotal role in developing and implementing analytical strategies that allow us to better integrate and interpret these data, delivering biological insights into disease pathophysiology that propel our translational goals, most obviously through the identification of novel therapeutic targets and biomarkers involved in disease onset and/or disease progression. • We are keen to attract candidates with skills and experience that position them to tackle key challenges in multimodal data integration as it relates to human biology. What strategies should we adopt for the effective and insightful integration of multimodal data at scale to deliver causal inference regarding disease pathogenesis? How can we do a better job of connecting the genetic signals that come from GWAS to the genes, pathways and processes through which they exert their effects on disease biology and outcomes? How can we optimize our capacity to integrate a diversity of data types, relevant to efficacy, safety and druggability, to prioritize the most promising targets for a given disease? To be successful, the person we seek will need to have a broad range of skills and expertise that embraces association analysis in genotype and sequence data, strong competence in the analysis of sequence-based molecular assay data (eg RNA-Seq), familiarity with approaches for the integration of genetic and molecular data, and a profound understanding of causal inference. They are also likely to be proficient in the use of high performance computing resources, and to have experience of implementing a range of AI/ML approaches. As well as developing and implementing a transformational research program in these areas, working closely with colleagues and mentors in human genetics, the appointee will be responsible for: • Extensive collaboration with colleagues across “Translational Genomics” who are responsible for the generation and analysis of data arising from our capabilities in molecular profiling, spatial analysis and perturbation assays • Extensive collaboration with colleagues in Neuroscience (and other Therapeutic Areas) who will take the biological insights generated and turn them into actionable hypotheses and lead molecules • Design and execution of targeted analyses to uncover novel therapeutic targets and biomarkers of disease heterogeneity, progression, and treatment response • Maintaining an excellent publication record • Presentation and communication of findings in cross-functional teams • Initiation of and participation in strategic external collaborations in pursuit of these goals. Genentech is committed to the development and delivery of precision medicines, which take individual variation as well as diagnosis into account in the delivery of health care. Because genetic makeup is a major component of individual variation, the work of the Human Genetics Department is a central pillar for achieving our vision of modern medicine, and the scientists in the Department are key contributors to making this happen. Major disease areas of interest to Genentech include a range of chronic inflammatory and neuro-degenerative conditions, as well as diverse cancers, and a number of ophthalmic and metabolic diseases. Though the principal focus of this position will be in Neuroscience, we expect the research findings to have broad relevance across all disease areas. Genentech provides an exceptional research environment composed of internationally recognized scientific leaders, as well as state of the art core facilities with cutting edge technologies and computational resources to support your research activities. We provide a highly collaborative community, and as such, you will interact closely with clinical development teams and other scientists in the areas of biomarkers, bioinformatics, and research discovery departments including Immunology, Neuroscience, Infectious Diseases, Cancer Immunotherapy, and Molecular Oncology. Qualified candidates will typically have the following attributes: • PhD training with a strong focus on human genetics, Computational Biology or a related field; • Substantial (typically at least 3-5y) experience in academia or industry (as a postdoc or equivalent role) engaged in computational biology research or a related field • A thorough understanding of biostatistics & statistical genetic methods • Extremely strong computational skills, with demonstrable competence in the management and analysis of large scale data, proficiency in high-level programming languages and statistical computing • An excellent record of scientific publications in top tier journals • Strong communication and interpersonal skills with the ability to present and explain findings to a diverse audience • Motivation and ability to succeed in a fast-paced, highly collaborative environment • A keen interest in applying computation to solve biological problems and achieve translational goals • A scientific background in neuroscience would be a plus, but is not essential • Experience in the application of AI/ML methods would be a major plus Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page Who we are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines. Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work. Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. For more information about equal employment opportunity, visit our Genentech Careers Homepage. Job Level: Individual contributor

Invitae is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making genetic testing affordable and accessible for everyone to guide health decisions across all stages of life. Invitae needs... data scientists with diverse backgrounds to help us achieve our mission. We are a cross-functional team of scientific domain experts and dedicated, curious engineers. We build systems that take massive amounts of genomic data, combine it with the world's scientific literature, add to it years of rigorously curated results, and package it all neatly for our scientists to consume. It's a lot of information. As the data gets bigger, our systems need to get better and faster. That's where you come in. We are looking for a highly motivated and experienced data scientist to join the Dry Lab Operations group. In this role you will be responsible for analyzing lab process metrics, preparing reports for clinical validation, and modeling process changes. You will independently and proactively identify process issues and recommend solutions given critical timelines. This work is interdisciplinary and involves collaboration with production lab scientists, R&D scientists, the clinical quality assurance team, laboratory directors, and the bioinformatics pipeline engineering team. You will have ample opportunity to significantly contribute to the development of our evolving technologies. Expect to impact business decisions through data-driven presentations and recommendations. What you’ll do: • Enable smarter business processes and implement analytics for meaningful insights • Identify and execute exploratory analysis to solve various problems • Identify relevant data to mine for business needs • Perform data and error analysis to improve lab stability and methods • Clean and validate data for uniformity and accuracy What you bring: • Strong experience using statistical computer language (R, Python, SQL, etc) to manipulate NGS data and draw insights • Knowledge of NGS lab process and high throughput sequencing technologies • Strong problem solving skills with emphasis on lab processes and assay development • Excellent data science communication skills • 2+ years demonstrated professional experience in statistics and modeling • 2+ years demonstrated professional experience in data visualization (matplotlib, Tableau) • Excellent knowledge of Python and its applications to data science • Knowledge of querying databases: SQL, datalog, etc. Database management experience is a plus. • Eagerness in taking ownership of day-to-day production operations • A drive to learn and master new technologies and techniques • Preferred: Experience with LIMS and working in a Lab environment At Invitae, you’ll work alongside some of the world’s experts in genetics and healthcare at the forefront of genetic medicine. Our teams thrive in our dynamic organization, which has been designed to empower them to make the biggest impact they can for our patients. We give our employees the ability to explore interests and capabilities broadly within the organization. We prize freedom with accountability and offer significant flexibility. We also provide excellent benefits and competitive compensation in a fast-growing organization. At Invitae, we’re changing healthcare to change lives. Join us. 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. #LI-Remote #LI-JM1

The Position The Microchemistry, Proteomics, Lipidomics (MPL) and Next Generation Sequencing (NGS) Department is seeking an experienced Scientist/Senior Scientist with a record of high impact research involving the development and application of novel bioinformatic or machine learning algorithms for proteomics to join the group. The new hire will have the opportunity to develop an independent... research program and work collaboratively to develop groundbreaking tools and algorithms essential to the high-throughput analysis of cutting-edge proteomics techniques, including single cell proteomics, and apply them to biological questions essential to Genentech’s drug discovery efforts. Advances in mass spectrometry proteomics and associated areas have revolutionized the study of cellular proteins and motivated in depth molecular characterization of normal human physiology and disease biology. The MPL group is a world leader in the application of technologies, including mass spectrometry and plate-based proteomic methods, to elucidate new models of the molecular mechanisms of disease and the development of novel therapeutics. The successful candidate will lead efforts to create the algorithms essential to transform data generated by new proteomic technologies into actionable biological results. As is true across Genentech, research in MPL is fast paced and highly collaborative, drawing on the expertise of some of the world's leading experts in biochemistry, technology, computational biology and disease. Who You Are • We are looking for a computational leader with rich, demonstrated experience at the intersection of algorithm development and complex biological problems. • This position requires a PhD in the computer sciences, Bioinformatics, or a scientific field of study such as Biology, Chemistry, or Biochemistry. • A high priority will be placed on demonstrated experience in the application of machine learning approaches, including deep learning, to biological data. • Experience with data generated from analytical instrumentation such as mass spectrometers and/or prior proteomics experience is highly desired. • A working knowledge of both Python and R, with a mastery of either or both languages, is required. • Familiarity with modern software engineering best practices is a must, as is the ability to make project decisions independently. • Strong communication & interpersonal skills are essential for success in this collaborative role. Relocation benefits are available for this job posting. #LI-GL2 #MPL Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. Genentech requires all new hires to be fully vaccinated against COVID-19 as of their start date. This requirement is a condition of employment at Genentech, and it applies regardless of whether the position is located at a Genentech campus or is fully remote. If you are unable to receive the vaccine due to a disability or serious medical condition, or because it is prohibited as a result of your sincerely held religious beliefs, you will have an opportunity to request a reasonable accommodation

Job Code and Payroll Title 009401 BIOINFORMATICS PROGR 3 Job Summary... The Bioinformatics Programmer position involves establishing pipelines using existing computer algorithms for the analysis of RNA, DNA and TCR sequencing as well as Cytof data. The position will also involve developing new algorithms and pipelines as needed, commencing with but not limited to single cell RNA and TCR sequencing of immune cells from immunotherapy-treated and untreated cancer patients. The candidate will be expected to make independent and innovative contributions to a variety of experimental analyses that may lead to contributions to scientific publications. Eventually, the candidate will implement end-user needs for everyone in the laboratory to be able to use the algorithms in the pipeline for large scale studies. Organization Campus Req Number 62932BR Job Title Bioinformatics Programmer Employee Class Career Percentage 100% Shift Length 8 Hours Shift Days Additional Shift Details Monday - Friday, 40 hours per week Bargaining Unit 99 - Policy-Covered (No Bargaining Unit) Job Category Clinical Systems / IT Professionals Required Qualifications • Bachelor's degree in biological science, computational / programming, or related area • Minimum 3+ years of related experience and/or training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Thorough knowledge of bioinformatics programming design, modification and implementation. • Thorough skills associated with statistical analysis and systems programming • Experienced with Unix • Knowledge of relevant biology • Ability to produce high-quality reports and documentation Preferred Qualifications • Master's degree in biological science, computational/programming • Advanced degree in Information Technology or related discipline • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. • Experienced with open-source development (e.g., maintenance, contributions) • Experienced with compute clusters and job schedulers • Experienced with version control (e.g., Git) and corresponding repositories (e.g., GitHub) • Experience with cloud computing • Skills to communicate complex information in a clear and concise manner both verbally and in writing. • Skilled in Tableau or other data visualization tools, SQL tables, queries and stored procedures, Python or other programming language(s), Familiarity with ETL processes, VBA in MS Excel or MS Access, charting/visualizations using MS Excel. • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization • Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills • Demonstrated strong problem-solving skills. Able to learn effectively and meet deadlines • Critical thinking skills and attention to detail Position Type Full Time Department Name Helen Diller Family Comprehensive Cancer Center Equal Employment Opportunity The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Department Description The UCSF Cancer Immunotherapy Program (CIP) at the UCSF Helen Diller Family Comprehensive Cancer Center (HDFCCC) comprising of the Cancer Immunotherapy Clinic and the Cancer Immunotherapy Lab on the Parnassus Campus, brings together expert UCSF physicians from across all cancer sub-specialties, to work closely with scientists from UCSF and beyond to develop the cancer treatments of the future. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide. Location Mission Bay (SF

Thank you for your interest in a career at Senti Biosciences. Our mission is to create a new generation of smarter medicines that outmaneuver complex diseases in ways previously inconceivable. We are passionate about designing gene circuits to improve the “intelligence” of cell and gene therapies in order to enhance their therapeutic effectiveness against a broad range of diseases that... conventional medicines are unable to address. At Senti, we find purpose and meaning knowing that our efforts have the potential to improve the lives of patients and their families with more effective and safer treatment options. With science as our foundation and empathy as our key guiding principle, colleagues become friends, managers become mentors, and with time, cancer becomes history. Senti Biosciences is looking for an experienced Bioinformatics Scientist who will play a pivotal role in establishing our machine learning platform aiding in the development of next-generation cell and gene therapies. The successful candidate will work in collaboration with a cross-functional team to create predictive models and analysis tools for data-driven design of genetic circuits. We are looking for someone comfortable with tackling a broad range of scientific problems of varying scope and complexity. Responsibilities: • Use public and in-house data to build predictive models for data-driven design of genetic circuits • Building bioinformatics pipelines and data analysis and integration of NGS and other omics data modalities • Collaborate closely with teams within the company in analyzing data from different sources – omics, flow cytometry etc. • Contribute knowledge and expertise for ad-hoc analysis on interdisciplinary company projects • Participate and provide support for external collaborations Qualifications: • MSc or higher (PhD preferred) in a quantitative biology area, emphasis on immunology, transcriptional regulation in mammalian systems, and synthetic biology • Strong computational background – experience in Python and R/Bioconductor is essential; experience in lower level languages (C/C++) is a plus • Experience with cloud computing (AWS), Linux, shell scripting • Experience in developing, training and deploying machine learning solutions using common ML frameworks (scikit-learn, TensorFlow, PyTorch) • Experience analyzing multiple modalities of next-generation sequencing (NGS) data (especially RNAseq, scRNAseq and MPRA), experience with statistics and multi-omics data integration. • Familiarity with public or proprietary bioinformatics resources (e.g. ENCODE, cBioportal, TCGA, GTEx, Reactome, genomic browsers etc.) is a plus • Understanding of basic software engineering concepts and practices • Ability to start a project from ground up and operate with a high degree of independence • Passion for working in a dynamic multi-disciplinary environment • Excellent communication and problem-solving skills Senti Bio is a leading gene circuit company designing gene circuits to create a new generation of “smarter medicines" and enhance the therapeutic effectiveness of cell and gene therapies against a broad range of diseases that are unaddressed by current standards of care. We are proud to count Leaps by Bayer, NEA, 8VC, Matrix Partners China, Mirae Asset Capital, Amgen Ventures, and others among our investors. In December 2021, Senti Bio and Dynamics Special Purpose Corp. (Nasdaq: DYNS), a special purpose acquisition company (SPAC), announced a definitive business combination agreement to create a public company focused on Gene Circuit-engineered cell and gene therapies. The transaction is expected to be completed in the second quarter of 2022. Senti Bio is based in South San Francisco, CA, USA. We are committed to an inclusive and diverse Senti Bio. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse Senti Team. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer