Bioinformatics Jobs

We're hiring Bioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to... • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience

The Company: A Bioinformatics Scientist is needed to join a pioneering early-stage biotech that utilizes micro-technology for ultra-sensitive genomic analysis, based in Boston, Massachusetts. Their unique platform focuses on making single-cell analysis simple and accessible to researchers. You will be a vital member within the Bioinformatics team, focused on the forefront of genomic and cellular... understanding of cancer. The role: • Leading the development of Bioinformatics workflows including RNAseq, ChiP-Seq, proteomics and metabolomics. • Collaborating across teams such as the engineering and bioinformatics teams to ensure workflows are efficient. • Working directly with customers to ensure smooth product deployment. • Implement more sophisticated, bespoke bioinformatics analyses. Requirements: • PhD in Bioinformatics, Computational Biology, Statistics Biology, or other relevant scientific field. • Strong biology background and excellent interpersonal communication skills • Hands-on experience with single cell genomics technologies • Expertise analyzing genomics data, preferable experience with RNAseq data. • Knowledge of both human genetics, oncology, and the genetic variation associated with various types of cancer is a plus! • Knowledge of bioinformatics and data science best practices: exploratory data analysis, quality-control etc. • Experience in Python, R, and/or MATLAB, 3+ years preferred. • Excellent verbal and written communication skills The company are based in the Greater Boston area and work on a hybrid model where you will be required to go into the office 2-3 days a week. The salary offered is $140,000-$170,000. Other benefits include 401(k), Health Insurance, Dental Insurance and many more. Benefits include: competitive compensation packages; Health insurance; stock options; flexible working hours and a hybrid work environment. a.desmit@ Equal Opportunity Employer/Disability/Veterans

POSITION RESPONSIBILITIES Specific Responsibilities... • Processing and mapping raw NGS RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics datasets. • Analyzing RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics data sets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer. • Downloading and processing published and publicly available omics data sets, and integrating them with datasets generated in the lab to investigate mechanisms of gene regulation in stem cells and cancers. • Working with the PI, students and postdocs in the lab to analyze omics data sets for their projects. • Working with collaborators to analyze and process omics data. • Process data for manuscripts, talks, seminars and grants. • As needed learn new pipelines and latest methodologies in the field and apply them to lab research projects. Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources. QUALIFICATIONS • Masters or equivalent degree with a record of course work or experience in bioinformatics. Applicants with a bachelor degree in bioinformatics with strong prior experience will be considered too. • Prior experience in NGS data analysis (i.e. RNA-seq, ChIP-seq, ATAC-seq, WGBS) is required. • Background in biology and genetics is preferred #LI-LA1 Min Max ABOUT US Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows. Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH). Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually. We have also been recognized by Forbes as one of the country's best midsize employers in 2019. Forbes ranked Einstein in the top overall nationally among midsize employers. Einstein ranked 3rd within the education category in New York State and 9th nationally among all midsize education employers. The Albert Einstein College of Medicine 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. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. The Dawlaty Laboratory at the Genetics Department and the Institute for Stem Cell and Regenerative Medicine Research of Albert Einstein College of Medicine in New York City is seeking a bioinformatician to join our team. Our research focuses on understanding the epigenetic mechanisms governing the biology of stem cells, development and cancer with an emphasis on the role of DNA modifying enzymes and chromatin modifications. We utilize embryonic stem cells, induced pluripotent stem cells and mice as model systems and combine bioinformatics, cellular and molecular approaches to study how DNA modifying enzymes reshape the epigenome and regulate cell fate, development and cancer. We are seeking a colleague with extensive expertise in NGS data analysis to analyze RNA-seq, ChIP-seq, ATAC-seq, WGBS and single cell omics datasets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer

​Location: LOC_HOME-Home/Remote Office Location Req ID: 204171... Shift: Days Employment Status: Regular - Full Time ​About Us We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve. If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP. ​CHOP is proud to share that we are ranked No. 1 on Forbes' 2022 list of America's Best Large Employers! Job Summary The Raymond G. Perelman Center for Cellular and Molecular Therapeutics (CCMT) is dedicated to the understanding, development, and application of gene and related cell and nucleic acid therapies and the promotion of professional and public education in the field. The CCMT fosters a multidisciplinary approach among researchers and scientists working to discover new gene and cell therapies in search of cures for debilitating and life-threatening disorders. The Davidson Laboratory, an integral part of the CCMT, studies neurodegenerative disorders with the goal of finding long term therapies. We are looking for a computer scientist or computational biologist to work alongside researchers providing computational support on projects requiring analysis of high throughput sequencing data. The ideal candidate will have a degree in a relevant field (bioinformatics, computer science, computational biology) or will have experience working with high throughput sequencing data, and a high comfort level using existing bioinformatic tools and pipelines to process these datasets. Proficiency in either Python or R programming languages is strongly encouraged and an ideal candidate will be comfortable developing custom scripts and bioinformatic pipelines to analyze datasets. While working in an inter-disciplinary lab environment applicants will have the opportunity to gain experience with a wide variety of molecular biology techniques including, basic laboratory techniques such as PCR, gel electrophoresis, and DNA/RNA isolation desired, next generation sequencing library preparation, tissue culture work, molecular cloning, and proteomics such as western blotting. Prior experience in any of these specialties is a plus. Job Responsibilities • Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. • Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. • Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. • Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. • Within the context of the collaboration or project, develop and apply best practices to code development. • Establish requirements with the project team. • Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. • Advocate for chosen strategy to project team by showing value of approach • Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. Job Responsibilities (Continued) • Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. • Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. • Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Incorporate more advanced applications and methods into analysis. • Develop at least one specialty analytical or biomedical area that serves the collaborative team. • Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. • Contribute to and influence project-level management by serving as bioinformatics point. • Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. • Develop new collaborations with high degree of supervision. • Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to bioinformatics-focused manuscripts and publications. • Regularly contribute to podium presentations and posters. • Contribute to bioinformatics sections of grant and award proposals. Required Education and Experience Required Education: Bachelor’s Degree Required Experience: • At least three (3) years of experience in applied bioinformatics, genomics, and computational work. • Experience with management and analysis of complex data types. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s Degree in biological or computational discipline Preferred Experience: • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Experience with Python, Perl, or other languages. • Experience with pipeline or workflow development frameworks. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred. • Ability to interact with biologists and clinicians during a scientific discussion is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to independently plan and execute analyses of moderate complexity required. • Ability to provide objective validation of results required. • Ability to work in a team environment. To carry out its mission, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19 as a condition of employment. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. Additionally, all workforce members based in or regularly scheduled to work at any New Jersey location are mandated to be both vaccinated and boosted for COVID-19, with booster timing consistent with applicable guidelines. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products. EEO / VEVRAA Federal Contractor

Position Summary Caris Life Sciences is looking for a sharp, driven and goal-oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris’ proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing... complex clinical and translational data sets. We are looking for team-oriented, hands-on professionals with a passion for personalized medicine and innovation in statistical and mathematical analyses. Job Responsibilities • Develop and maintain statistical analytical tools and bioinformatics pipelines. • Conduct analysis on biomarker discovery and clinical diagnostics data. • Consult on experiment design and data interpretation for laboratory research. • Contribute to design and development of informatics infrastructure. • Adhere to coding and documentation standards and manage deliverables for area of responsibility. Required Qualifications • Master’s or PhD in bioinformatics, biostatistics, biomedical engineering, computer science and other related disciplines. • Solid understanding of principles and analytical methodologies in computational biology and bioinformatics. • Hands-on experience of state-of-the-art bioinformatics tools, including NGS and proteomic pipelines strongly preferred. • Proven ability for developing and maintaining bioinformatics pipelines. • Experience in developing database and data-driven applications. • Programming skills with Perl, Python, shell scripting and/or Java. • Skills in statistical analysis and proficiency with statistical package such as R and SAS. • Ability to understand laboratory and clinical data. • Familiarity with clinical trial design and clinical data analysis is highly desirable. • Proficient verbal and written communication skills. Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results. • Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening and reference verification. Also, individual must be fully vaccinated for COVID-19 by the date of hire to be considered for U.S.-based jobs, if not currently employed by Caris Life Sciences. Training  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.   This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability

The Position Roche Pharma Research and Early Development (pRED), an industry leader in pushing the boundaries of the sciences in drug development, is committed to develop more personalized healthcare solutions at lower cost to society. In order to continuously deliver more efficacious cancer immunotherapy, pRED is constantly utilizing all the data collected from all current and past clinical... trials to maximize the learning of our drugs and to drive fully data-driven decision making. One of such reverse translational efforts aims to establish clinically-relevant knowledge about immune escape mechanisms in cancer. We are looking for a passionate postdoctoral research fellow who will help us push the boundary of response to cancer immunotherapy through integrating OMICs data and applying machine learning. In this postdoc position, you will have the opportunity to: • Work with experts in cancer immunotherapy to analyze the first-hand data from clinical trials and make discoveries that benefit the patients • Contribute to a global data science team through leveraging and developing analytics pipelines and libraries for multiple OMICS data modalities • Publish and share your discoveries with the cancer research community We are looking for a highly motivated individual who has a passion for driving science through technology, spirit of teamwork, and excellent communication skills that will thrive in a multidisciplinary team to deliver best results. A successful candidate will have the following skills or experience: • Ph.D. degree in Bioinformatics, Computer Science, Biostatistics, Applied Mathematics, Applied Physics or related discipline. • Hands-on experience in processing and analyzing Next Generation Sequencing data (DNA-Seq & RNA-Seq) using common bioinformatics pipelines • Proficiency in Python and R • Experience in machine learning is a plus • Knowledge about genetics, immunology, tumor immunology and / or tumor biology and genetics is a plus Relocation benefits are available for this position #LI-PL1 #postdoc Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s 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 against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s 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 at US.Accommodation@roche.com

The Position The Position... Genentech is inviting applications for a Computational Biologist to join the Department of Human Genetics as a Principal 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 Principal 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 • #gREDinformatics 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 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

SENIOR BIOINFORMATICS SOFTWARE ENGINEER SAN FRANCISCO BAY AREA (hybrid/remote... $160,000 - $180,000 + BENEFITS This diagnostic company is revolutionizing NIPT through novel scientific breakthroughs to empower parents to understand the future risks of their children. THE COMPANY This seed-stage start up already has a product on the market and is looking for a talented bioinformatics software engineer to join their mission of empowering parents. Using Python, DNA sequencing and WGS analysis, and AWS, this bioinformatics engineer will spearhead the tooling development and bioinformatics analysis. THE ROLE Responsibilities will include: • Developing bioinformatics pipelines using Python on AWS • Analyzing DNA sequencing, Whole Genome Sequencing (WGS) and rare variant data • Collaborating with internal and external stakeholders in driving company mission • Scaling and automating exisiting pipelines YOUR SKILLS AND EXPERIENCE Your skills include: • Graduate degree in Bioinformatics, Computational Biology or related fields • Demonstrated industry experience developing production level bioinformatics pipelines • Significant industry experience in developing THE BENEFITS • $160,000 - $180,000 base salary • Opportunity for rapid growth, drive microbiome development and strategy, and more! HOW TO APPLY Please register your interest by sending your CV to Alyssa Liew via the Apply link on this page

PharmEng Technology has been providing quality services to leading manufacturers of healthcare and pharmaceutical products since 1997. Our specialists hold expertise in Commissioning & Qualification, Validation, Quality Systems, Regulatory Affairs, Engineering, and Training to ensure that our clients can keep on providing the world with their cost-effective and high-standard healthcare... products. At PharmEng Technology, we strive to cultivate the best working environment where empowerment, passion and perseverance are nurtured while serving our clients to achieve their unique business goals. We are seeking an experienced Bioinformatics Scientist for an opportunity in the Bay Area, CA. Objectives Of This Role • Provide computational and informatics support to scientists and independent faculty members in designing and executing key biomedical projects; serve as a subject matter expert. • Responsible for the collection, analysis, interpretation and integration of complex biomedical data. • Own and lead various projects, delivering results and generating relevant reports. • Contribute expertise to software code base and relevant communities of practice. • Work as part of a broader team to identify and implement long term solutions; improve quality, speed and efficacy of current projects and program through evaluating and benchmarking new software tools and pipeline development. Skills And Qualifications • Bachelor's degree in relevant field required. Advanced degree (Master's or PhD) preferred with evidence of impact in bioinformatics applied to real life problems, ideally within a biomedical research or clinical environment. • 3+ years of experience in basic, translational or clinical research setting required. • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems. • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities

The Department of Molecular, Cell, and Developmental Biology and the Genomics Institute at the University of California, Santa Cruz (UCSC) invites applications for the position of Bioinformatics Project Scientist. Under the direction of Professor Sofie Salama, the project scientist will lead the design and execution of bioinformatic analysis of genomic data and wet lab experimental results by... Salama laboratory members and initiate independent research projects in the general focus areas of the laboratory (transposable elements, segmental duplications, neurodevelopment, evolution of the primate brain, organoid models, pediatric glioma). The incumbent will work with trainees (undergraduate and graduate students as well as postdocs) to assist and train them in best practices of bioinformatic analysis and data sharing through publicly accessible databases. The project scientist will contribute to the writing of grants and scientific publications related to their projects and will present their work at national and international conferences. The project scientist will collaborate with other research groups at UCSC and other institutions to develop and implement best practices for data analysis and sharing methods, especially as they pertain to collaborative projects. Applicants with expertise in complex genomic regions including transposable elements in the context of primate evolution, neurodevelopment, or cancer biology are strongly encouraged to apply. In addition to a very strong bioinformatics training and research track, the successful candidate should have experience in wet lab experimentation. The hiring unit will not sponsor employment-eligible immigration statuses for this position