Bioinformatics Jobs

About Us: Tentarix Biotherapeutics is a biotechnology company with a revolutionary platform for the discovery of next generation, multispecific biologic drugs, with the potential to make a significant difference in the lives of patients suffering with diseases, such as cancer and autoimmunity. We are led by a seasoned executive team with proven expertise in the field of multispecific drug discovery, drug development, and company-building. We are supported by top tier healthcare investors and have several ongoing partnered programs with Gilead and AbbVie. We are committed to hiring and retaining highly qualified and motivated team members who are passionate about making a difference for patients in the modern drug discovery landscape. The Tentarix culture is founded on integrity, accountability, teamwork, and respect. Our team members are creative, hands-on, self-directed, and determined. We offer autonomy, flexibility, a modern culture, and the best tools to ensure the success of our team. Role: We are seeking a creative and collaborative scientist and technologist to lead the development and optimization of bioinformatics systems to support the discovery and design of novel biologics. Experience in establishing next-generation sequencing technologies and bioinformatics tools related to biotherapeutics is desired. Experience with protein design using computational tools is also desired. This role provides the opportunity to work on multidisciplinary teams to solve challenging problems in the discovery and design of new biologics. Responsibilities: • Develop bioinformatics tools for analysis of next-generation sequencing (NGS) data sets that integrate with Benchling to facilitate discovery and design of protein therapeutics with desired binding characteristics and biological activity. • Leverage bioinformatics to expand the throughput of antibody screening workflows, including curation, analysis and interpretation of large data sets, and process automation. • Work with a high-functioning team focused on identification, characterization, and optimization of antibodies and related biologics in support of Tentarix’s pipeline of therapeutic programs. • Lead the design and optimization of our data model in Benchling to continuously improve data entry, organization, and visibility. • Present strategies, approaches, results, and conclusions effectively within the Antibody Engineering Team and other functional teams to enhance efficiencies and feedback across our research group. • Establish and strengthen the interface between teams, including streamlining communication, operations, and data systems. Basic Qualifications • Expertise in setting up a GIT repository and working with a collaborative programming environment. • Expertise in Python, C++, or other programming language. • Experience designing and building custom computer hardware for big data/machine learning analysis • Goal oriented, organized, capable of prioritizing across multiple projects, and able to execute to timelines that meet company goals. • A track record of innovation, strong problem solving and troubleshooting skills, and ability to contribute constructively to discussions. • Thrive in a cross functional team environment and committed to positively contributing to Tentarix supportive small company culture. • Excellent verbal and written communication skills. • Confident, independent and decisive; proactive and results-oriented with high performance standards. • BS/MS degree in biochemistry, biophysics, computer science, engineering, or related field and 5+ years’ experience in bioinformatics Or PhD in biochemistry, biophysics, computer science, engineering, or related field and 2+ years of academic / industry experience in bioinformatics Preferred Qualifications • Demonstrated experience in development of bioinformatics tools for analysis of next-generation sequencing data. • Experience with SQL and Benchling, or other laboratory information management systems is desired. • In-depth understanding of antibody sequence, structure, and binding kinetics is beneficial. • Expertise with protein design using computational tools is beneficial. • Experience with machine learning and AI-based approaches for biotherapeutic design and optimization is beneficial. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets, experience, training, licensure, certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Tentarix, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,000 – 145,000 + bonus target + benefits + equity. Our employees are the Company’s most valuable asset, so we offerattractive compensation and benefits packages to retain the best in the field.Tentarix is committed to equal opportunity in the terms and conditions ofemployment for all employees and job applicants without regard to race, color,religion, sex, sexual orientation, age, gender identity or gender expression,national origin, disability or veteran status. Applicants must be currently authorized to work in the United States on a full-time basis. Tentarix Biotherapeutics, Inc. also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. We are an E-Verify employer.

Stanford Center for Genomics and Personalized Medicine (SCGPM), situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated bioinformatician. This position within our bioinformatics core team will support bioinformatics consulting services for faculty and researchers via the Genetics Bioinformatics Service Center (GBSC). For examples of the projects we support, please visit https://med.stanford.edu/gbsc/services/baas.html. The ideal person for this position is a bioinformatician who lives and breathes NGS data analysis and is passionate about learning. The successful candidate will have deep knowledge of NGS technologies, quality analysis for read alignment and variant calling (secondary analysis), and a large suite of analytical methods for discovering genetic components of human diseases (tertiary analysis). Responsibilities will include: • Meeting faculty members and researchers to evaluate their bioinformatics needs. • Conducting data analysis that meets quality standards of major peer-reviewed publications. • Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals. • Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously. • Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-¬in-¬a-¬Bottle for DNA¬Seq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist. • Presenting bioinformatics efforts and best-practices at conferences and symposia. Peer-reviewed publications with and outside of client laboratories are strongly encouraged. • Delivering quick proof-¬of¬-concept feedback on new methods and protocols. • Providing training to researchers to allow them to learn and use new techniques for analysis. • Staying abreast with bioinformatics best-practices (e.g., large consortium Data Coordination Centers like ENCODE and HMP) as well as cutting¬-edge data analysis methods from recent publications. • Meeting 3rd party developers, service providers, and consortium members to stay on top of development of new tools, solutions, and practices in the field. • Observing the highest standards of customer interaction, including maintaining confidentiality when required. The GBSC bioinformatics service team is supported by a group of expert software developers and biomedical engineers who are proficient in a variety of development environments, including large HPC clusters and multiple cloud platforms (e.g., DNAnexus, Google Cloud Platform). Members of this team are expected to participate in activities that are important to the center’s mission, including participation in conferences, arranging seminars, and attending annual retreats and other academic events as necessary. We recommend that interested candidates explore the NIH RePORTER website (https://projectreporter.nih.gov/reporter.cfm : search for organization “Stanford”, text search “Sequencing”, among other keywords) to see the range of basic science research Stanford investigators are engaged in. Our bioinformatics service strives to support the entire range. REQUIRED QUALIFICATIONS: • PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field. • Ability to define and solve logical problems for highly technical applications. • Deep understanding of next¬-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data. • Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. Multi¬omics analysis is often needed. • Proven experience working in a Linux cluster environment. Experience in cloud environments is also a plus. • Ability to select, adapt, and effectively use a variety of programming methods. Strong programming skills in Python and R are expected. Familiarity with C, C++, Java. and Perl are useful. Best practices in coding, including techniques of reproducible and transparent science (github, DockerHub, markdown documentation) will be required. • Excellent verbal and written communication skills with both technical and non¬technical clients. • Stanford offers a supporting learning environment and ability to learn rapidly is a critical need. Our service supports a large and growing customer base and Stanford researchers are engaged in innovative basic science research. We expect our team members to ramp up rapidly to support this innovation. • Strong work ethics are critical in this role, since the individual will be responsible for the highest quality scientific data analysis. DESIRED QUALIFICATIONS: • Postdoctoral training in one of the disciplines listed above is highly desirable for this position. • While a wide background in NGS bioinformatics will be useful, deep experience with DNA¬-seq and/or RNA-seq data is strongly preferred, including whole genome, whole exome, SNP¬-array, tumor/¬normal. • Strong background in one or more of the following: pedigree analysis, machine learning, statistical methods, variant annotation and interpretation, Genome Wide Association Studies (GWAS). • Knowledge of general principles for regulatory compliance, including understanding of the NIH Security Best Practices for Controlled ¬Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy (aka dbGaP compliance). • The core team has developed extensive set of data analysis pipelines on the local cluster and Cloud. We expect reuse of these pipelines. Candidate is also expected to add to this analysis library by developing custom/novel pipelines. • Experience working in academic environments. • Experience with mentorship or project management. Contact information: Please direct all applicants to http://stanfordcareers.stanford.edu/ Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions. The expected pay range for this position is $90,000 to $117,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy.

Position Description: Empirico, a biotechnology company that combines unmatched expertise in human genetics-driven target discovery with world-class capabilities in siRNA drug discovery, is looking for a talented data scientist experienced in human genetics and bioinformatics who is interested in applying these skills towards interpreting large scale human genetics data for the purpose of therapeutic target discovery. This is an excellent opportunity for a highly-motivated, creative data scientist to be a vital member of a team of experts dedicated to identifying new therapeutic targets and translating those insights into drug discovery and development programs. Responsibilities: • Your responsibilities will primarily consist of performing analyses and building robust computational pipelines and tools critical to Empirico’s target discovery efforts. You will be expected to – • Collaborate closely with a multidisciplinary team consisting of human geneticists, biologists, bioinformatics scientists and software engineers, and use your data analysis skills to gain insights from massive genetic datasets • Work independently and as part of a team to complete projects related to: • Deploying robust, scalable data analysis pipelines, software tools, and web applications to support target discovery – including innovative methods to analyze genetic and phenotypic data • Implementing cutting-edge analytical methods and algorithms (both internally-developed and those described in the literature) • Integrating, analyzing and visualizing large, complex data sets to extract information useful to our target discovery efforts • Perform focused genetic analyses to gain insights into novel target biology and clearly communicate these analyses to Empirico colleagues • Perform analyses to address critical platform/application QC Requirements: • This position requires a MS or PhD in bioinformatics or a related discipline (e.g. computer science) • Core background MUST be in data science or bioinformatics; this position is NOT for scientists with a primarily wet-lab background • Strong skills in at least one programming language (preferably Python) • Familiarity with Linux command-line based tools and bash scripting • Experience using HPC/cloud computing environments (AWS, Azure, GCP) • Demonstrated experience processing, analyzing, and visualizing genetic datasets to make scientific insights • A strong understanding of applied statistical methods and the principles of statistical genetics • Experience working with RNA-seq (or scRNA-seq), GWAS data, and other omics data types a plus • Experience working with UK Biobank data or other large-scale biomedical databases a plus • Full stack development experience a plus, but not expected • Comfortable with version control systems such as Git • Demonstrated ability for writing readable, testable, and SOLID code • Applicants must have authorization to work in the U.S. The estimated base salary range for this role is $80,000 to $150,000. Individual compensation decisions will be based on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. We offer a wide range of benefits including a retirement savings plan (with company match), paid vacation, holidays, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. About Empirico: Empirico is a biotechnology company that discovers and develops novel medicines designed to mimic naturally-occurring genetic variants that confer beneficial effects on health and disease. Empirico’s two foundational technology platforms – the Precision Insights Platform™ for genetically-validated target discovery, and the siRCH™ platform for the discovery and development of siRNA medicines – are used separately and in tandem to enable Empirico and our collaborators from the discovery and validation of novel targets to clinically-viable therapeutics. Empirico’s exceptional internal capabilities, augmented by those of its partners, are driving the advancement of a growing and differentiated pipeline of wholly-owned and partnered programs. Empirico is headquartered in San Diego, CA with a major second site in Madison, WI. We’re striving to build a strong culture of inclusivity, transparency and collaboration at Empirico, where our diverse and equitable workforce is empowered to contribute to our mission. We always seek the best candidate for the position and encourage you to apply even if your experience or qualifications don’t match up exactly with the job description. Empirico is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. To All Agencies: Please do not contact any employee of Empirico about this position. All resumes submitted by agencies to any employee of Empirico via-email or in any form and by any method will be deemed the sole property of Empirico, unless such agencies were engaged by Empirico for this position and a valid agreement is in place.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: Illumina’s Primary Analysis team specializes in designing algorithms and developing software to detect genomic data from signals contained within images. Algorithmic challenges in this area include compensating for signal impairments introduced by optical, chemical, and mechanical systems. Implementation challenges include managing parallel tasks, optimizing memory accesses, and improving the speed and accuracy of genomic base calling. We develop methods to address these challenges by focusing on high reliability, speed, and completeness of results. We are seeking an exceptional individual to join our team in developing analysis solutions for use by researchers and clinicians worldwide. Responsibilities: Design, prototype, and implement signal processing and bioinformatics algorithms Analyze data and optimize software at the algorithm, design, and/or source code level Collaborate with external teams to ensure a smooth, end-to-end workflow with external organizations Provide technical leadership and represent the team at project and executive levels Requirements: Experience with signal processing, data analysis, and the application of statistical approaches Strong problem-solving skills Experience with C++ is preferred, but other languages will also be considered (Minimum: intermediate level with understanding of object-oriented design) Software development skills Personal initiative and ability to work effectively as part of a team Superior written and verbal communication skills Be curious, detail oriented, and analytical, with a proven ability to learn quickly Ability to define the architecture, develop, and debug software applications Experience with multi-threaded software, real-time systems, and/or software acceleration Relevant Experience that Maps Well to Our Challenges: Experience with communications theory and information theory Wireless modems, digital communications, and/or RF baseband signal processing experience Experience with linear equalizer design and implementation Experience using Matlab or Matlab-like simulators for algorithm development and system simulation Experience with Python Proficient with tools for software performance analysis and optimization Familiarity with Agile software development processes (e.g. Scrum) Experience with using version control systems such as Git Education: Master’s degree or PhD in bioinformatics, biology, engineering, physical sciences, computer science, mathematics, statistics, or equivalent, preferred. Experience: Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3+ years of experience; or equivalent experience #LI-ONSITE The estimated base salary range for the Staff Bioinformatics Signal Processing Engineer/Scientist role based in the United States of America is: $152,600 - $228,800. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package. We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf The potential of genomics to change the world is unparalleled. At Illumina, we are leading the way. Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity. We are made up of dedicated professionals, all-in on creating a better world – and we need every skill set on our path to making genomics useful for all. Learn more about life at Illumina.

Job location is at 10010 N Torrey Pines Rd, La Jolla, CA 92037 The Kaech Lab studies the role T cells, and other immune cells play in viral infections and cancer, with a focus on T cell and macrophage function, metabolism and differentiation. We study the pathways involved in T cell exhaustion and tissue-residence memory as well as neuro-immune interactions in tumors and in the central nervous system. The Bioinformatics Analyst (BA) position will work closely with the PI and other members of the lab to analyze single cell RNA & ATAC-seq datasets, single-cell spatial datasets, metabolomics and other multiomics data generated in the lab. The BA will be responsible for executing and maintaining current analysis pipelines, building new analysis pipelines, and integrating new genomics tools when appropriate. The BA will also work closely with members in collaborations for integrated analysis and interpret multiple –omics datasets as well as assist in non-pipeline bioinformatics applications. The BA will also work with scientists to visualize their data and develop high quality figures for papers when appropriate. The BA would work on multiple projects simultaneously and would result in authorship on papers. The BA will oversee the maintenance, organization and long-term storage of sequencing and omics raw and processed data. Who We Are The Salk Institute is an internationally renowned research institution that values diversity, equity, and inclusion. We seek bold and interactive leaders passionate about exploring new frontiers in science. Our collaborative community embraces diverse perspectives and unique life experiences, fostering innovation, and a sense of belonging. Together, we strive to improve the wellbeing of humanity through groundbreaking research. Founded by Jonas Salk, developer of the first safe and effective polio vaccine, the Institute is an independent, nonprofit research organization and architectural landmark: small by choice, intimate by nature, and fearless in the face of any challenge. Salk's vibrant community comprises a diverse and talented group of individuals, each playing a crucial role in driving our mission forward. From visionary leaders to dedicated administrators and brilliant faculty members, the Institute is united by a shared passion for scientific exploration and innovation. What Your Key Responsibilities Will Be • Work independently to develop advanced computational and statistical methods for big-data analysis. • Must be familiar with many different algorithms and software tools to generate data analysis pipelines and execute analysis in a timely manner. • Work independently to create and implement machine learning algorithms for identifying patterns and signatures relevant to biological datasets. • Work independently or with limited supervision on informatics research projects under direction from senior core staff or with research collaborators. • Work with Institute researchers and contribute to scientific discovery by implementing, optimizing and executing computational approaches for DNA methylation analysis, mapping, genome sequence analysis, transcriptome analysis, and data visualization. • Use published and available pipelines, scripts, and tools to prepare and process large datasets. • Must be fluent in coding. • 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, test, and present on new tools and pipelines for high-throughput data analysis. • Independent 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. • Contribute and assist with project inception, experimental design, analysis and manuscript presentation. • Work on 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, online code-share repositories such as GitHub, GitLab, BitBucket, etc including experimental design, time, methods, materials and results. • Help maintain scripts, software, tools, and pipelines used in the lab. • 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. • Back-up data in the lab server on a regular basis. • Performs other related duties as assigned Supervisory Responsibilities: • This job has no supervisory responsibilities. What we Require • MS degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics or related discipline or equivalent relevant experience. • Minimum of 3 years of relevant bioinformatics experience with a Master’s degree. If PhD, experience acquired through PhD program may be considered in lieu of professional experience. • Hands on work experience in single cell analyses and integration, harmonization of data sets, statistics, and machine learning. • Willingness to understand and interpret the data analysis and have a high level of scientific rigor. • Relevant experience and proficiency in Python programming; fluency in at least 2 common programming languages (Bash, AWK, or R); next-generation sequencing technologies and assays; and high-performance computing (e.g., SGE environment) • Excellent communicator and organizational skills of data files, analyses and generation of plots and graphs for figures for manuscripts and grants. • Outstanding time management and able to work on tight deadlines. Preferred: • Minimum of 1 year analysis experience on omics datasets and/or single cell datasets. • Minimum of 2 years analysis experience with NGS / High-throughput sequencing data analysis. • PhD degree in bioinformatics, computational biology, computer science, biological sciences, bioengineering, mathematics, statistics or related discipline or equivalent relevant experience. What We Can Offer The expected pay range for this position is $67,500 to $88,750 per annum. Salk Institute provides pay ranges representing its good faith estimate of what the institute reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. Benefits Salk Institute offers competitive benefits, including medical, dental, vision, retirement, paid time off, tuition reimbursement, patient advocacy services, and transit/parking program. Salk Values The Salk Community, both scientists and administrators, worked together to define values that we believe support Salk’s pursuit of excellence. To be truly the best scientific institution requires not only incredible discoveries, but a common understanding of how we should work together to enable those discoveries. The acronym “I CARE” provides a simple way to remember each of the values and reminds each of us of the importance of what we do each day. Equal Employment Opportunity Statement The Salk Institute for Biological Studies is an Equal Opportunity Employer and is committed to providing equal access to opportunities for students, employees, applicants for employment and other visitors. Salk has also adopted and maintains a policy to encourage professional and respectful workplace behavior and prevent discriminatory and harassing conduct in our workplace. Accordingly, the Institute prohibits harassment and discrimination in employment on the basis of, and considers all qualified applicants for employment without regard to, actual or perceived race, color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, age, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, veteran and/or military status (disabled veteran, veteran of the Vietnam era, other covered veteran status), political affiliation, and any other status protected by state or federal law.

At Cepheid, we are passionate about improving health care through fast, accurate diagnostic testing. Our mission drives us, every moment of every day, as we develop scalable, groundbreaking solutions to solve the world’s most complex health challenges. Our associates are involved in every stage of molecular diagnostics, from ideation to development and delivery of testing advancements that improve patient outcomes across a range of settings. As a member of our team, you can make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development. Cepheid is proud to work alongside a community of six fellow Danaher Diagnostics companies. Together, we’re working at the pace of change on diagnostic tools that address the world’s biggest health challenges, driven by knowing that behind every test there is a patient waiting. Learn about the Danaher Business System which makes everything possible. The Bioinformatics Analyst II will assist in bioinformatics projects related to the design of highly multiplexed molecular diagnostics through all stages of planning, design, computational verification and empirical validation in collaboration with experimental scientists and other team members. Primary responsibilities include data analysis and visualization, design of primers and probes for complex assays, analysis of genomic sequence data, and automation of both routine and complex tasks. This role involves extensive collaboration with Bioinformatics Engineers and Scientists, Molecular Biologists, and others at all stages of assay development from planning to commercialization. This on-site position will be located in Sunnyvale, California. In this role, you will have the opportunity to: • Develop bioinformatics workflows for both ad hoc and routine tasks in the design and debugging of highly multiplexed PCR assays. • Create documentation, reports, and visualizations of data that distill complex data into formats that help convey insights and drive decision making processes. • Assist Bioinformatics Engineers in the development of a robust computational pipeline for automated and semi-automated assay design. • Think creatively in a collaborative environment about novel, innovative solutions for difficult assay design problems. • Analyze data and debug results in order to identify avenues for future development and improvement. The essential requirements of the job include: • Undergraduate degree in bioinformatics or a related field with 2+ years of related work experience, or Master’s degree. • Proficient and hands-on in Python in a Linux environment, preferably including experience implementing and maintaining bioinformatics pipelines. • Experience with large sequence datasets and in navigating databases such as GenBank. • Ability to run and troubleshoot custom analysis pipelines and interpret their output. It would be a plus if you also possess previous experience in: • PCR primer and probe design. • Design and/or analysis of molecular diagnostics assays. Cepheid, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com. The salary range for this role is $82,000 to $126,000 U. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Work Schedule Standard (Mon-Fri) Environmental Conditions Office Do you have a passion for innovative ideas and groundbreaking discoveries? With over $1 billion invested annually in R&D, at Thermo Fisher Scientific you’ll help solve some of the world’s toughest challenges, from giving cancer patients hope, ensuring safe drinking water, and helping law enforcement tackle cases through forensics. We empower our teams to put science into meaningful action and give our R&D colleagues the autonomy, resources, and tools they need to take science a step beyond. Discover Impactful Work: As a Staff Scientist, Bioinformatics, you will support the development and implementation of Next Generation Sequencing (NGS) based oncology assays within the Clinical Sequencing Division. You will leverage your expertise in oncology bioinformatics, Python programming, and Unix/Linux systems to develop and maintain bioinformatics pipelines, analyze complex genomic data, and ensure compliance with regulatory standards. Your work will directly contribute to advancing precision medicine and improving patient outcomes. A day in the Life: • Pipeline Development and Maintenance: Develop, optimize, and maintain bioinformatics pipelines and tools using Python and other relevant scripting languages on linux based platforms. • Data Analysis: Perform data analysis and interpretation of high-throughput sequencing data, including but not limited to DNA, RNA, cell free total nucleic acid datasets. • Collaboration: Work closely with cross-functional teams, including laboratory scientists, clinical researchers, regulatory professionals, and software developers, to design and implement bioinformatics solutions that meet project requirements. • Troubleshooting: Troubleshoot and resolve technical issues related to data processing and analysis, ensuring timely and accurate results. • Quality Control: Ensure data integrity, quality control, and compliance with regulatory standards throughout the development process. • Documentation: Document workflows, pipelines, and analysis results in a clear and reproducible manner, adhering to best practices in scientific research. • Continuous Learning: Stay up-to-date with the latest developments in bioinformatics, genomics, and computational biology, and apply this knowledge to improve existing pipelines and develop new solutions. Keys to Success: Education • Ph.D. or Master’s degree in Bioinformatics, Computational Biology, Molecular Biology, or a related field. Experience • At least 5 years of experience in bioinformatics, with a focus on oncology and Next Generation Sequencing (NGS). • Proven experience in Python programming, bash scripting, Unix/Linux systems, next generation sequencing analysis, and somatic oncology genomics • Strong understanding of bioinformatics tools and algorithms, including sequence alignment, variant calling, and functional annotation. • Experience with high-throughput sequencing data analysis (e.g., NGS, RNA-Seq, WGS, etc.). • Familiarity with version control systems (e.g., Github) • Experience working in regulated environments and familiarity with regulatory compliance and quality assurance standards. Knowledge, Skills, Abilities • Outstanding problem-solving skills and attention to detail. • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team. • Excellent documentation skills, with the ability to write clear and reproducible workflows. • Familiarity with cloud data platforms (e.g., AWS) and containerization technologies (e.g., Docker) is a plus. • Knowledge of statistical analysis and machine learning techniques is a plus. • Familiarity with databases and data management systems (e.g., SQL, NoSQL) is a plus. We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Apply today! http://jobs.thermofisher.com Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. Compensation And Benefits The salary range estimated for this position based in California is $118,500.00–$177,850.00 This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount Compensation and Benefits The salary range estimated for this position based in Kalifornien is $118,600.00–$177,850.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Bioinformatics Scientist - Torrey Pines This established company is offering you the unique opportunity to hone your Bioinformatics skills in a high-support environment. Your Bioinformatics data analysis experience in combination with your go-getter attitude and quick-learning spirit will help you shine in this role. What you will do: Develop bioinformatics tools for analysis of next-generation sequencing (NGS) data sets that integrate and facilitate discovery and design of protein therapeutics with desired binding characteristics and biological activity. • Utilize bioinformatics to expand the throughput of antibody screening workflows, including curation, analysis and interpretation of large data sets, and process automation. • Key player with identification, characterization, and optimization of antibodies and related biologics. Who you are: PhD in Computer Science, or Bioinformatics or related engineering / biochemistry field, or related field and 2+ years of academic / industry experience in bioinformatics • Expertise in Python, C++, or other programming language. • Worked with protein and antinodies. What does this position pay? • Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $120K - $140k per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience. Note: We actively support and promote people of various backgrounds, from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven Recruiting is minority-owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today! #IND1 Job Type: Full-time Pay: $120,000.00 - $140,000.00 per year Benefits: • Dental insurance • Health insurance • Vision insurance Schedule: • 8 hour shift • Monday to Friday Ability to Relocate: • San Diego, CA 92121: Relocate before starting work (Required) Work Location: In person

Bioinformatics Scientist Pay: Salary starting at $80,000 annually Shift: M-F, standard working hours Location: El Monte, CA- 100% onsite Overview: As a Bioinformatics Scientist, you will collaborate in cross-functional teams to design, implement, and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will refine methodologies for data analysis, processing, visualization, and storage. You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction. Responsibilities: • Research and Development Investigate and compare available algorithms, methods, and data sources. • Make recommendations for pipeline component improvements or new pipelines. • Write SOPs for new or updated pipeline components or new pipelines. • Write specifications for implementation by software developers. Oversee pipeline development and integration. • Production and Customer Support Investigate and resolve analysis and pipeline production issues. • Review client projects for compatibility with current pipelines, make recommendations, and implement customizations as needed. • Oversee sequencing service projects, ensuring timely processing, quality results, and client satisfaction. • Support software and LIMS developers in automation efforts. • Perform specialized analyses as needed for specific projects. • Keep up-to-date with current best practices and emerging methods. • Treat data with a high level of integrity and ethics. • Data Maintenance Investigate available annotation and reference data sources. • Validate and deploy/update selected data sources. • Write reports detailing validation/update methodology and results. • Write SOPs for updating existing or new data sources. • Validation Develop appropriate procedures for testing and validation of new or updated pipelines or pipeline components. • Document and maintain data used for testing and validation. • Write validation reports detailing validation methodology and results. Requirements: • Ph.D. degree from an accredited institution in Bioinformatics, Biostatistics, or related field. Preferred Requirements: • Experience analyzing multiple types of next-generation sequencing (NGS) data and facility with statistics for big data analysis and multi-omics data integration • Strong hands-on skills in bioinformatics databases, bioinformatics tools, and relevant programming languages. • Experience in team software development and integration projects. As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community. Why Kelly® Science & Clinical? Kelly Science & Clinical is your connection to premier scientific and clinical companies looking to hire industry experts just like you. Our team creates expert talent solutions to solve the world’s most critical challenges. Every day, we match science professionals with dream jobs that fit their skills, interests, and career goals—it’s the way we think job searching should be. Nearly 100 percent of our science recruiters have a professional background and education in science, so we know a thing or two about the science market and how to get your expertise noticed. About Kelly Work changes everything. And at Kelly, we’re obsessed with where it can take you. To us, it’s about more than simply accepting your next job opportunity. It’s the fuel that powers every next step of your life. It’s the ripple effect that changes and improves everything for your family, your community, and the world. Which is why, here at Kelly, we are dedicated to providing you with limitless opportunities to enrich your life—just ask the 300,000 people we employ each year. Kelly Services is proud to be an Equal Employment Opportunity and Affirmative Action employer. We welcome, value, and embrace diversity at all levels and are committed to building a team that is inclusive of a variety of backgrounds, communities, perspectives, and abilities. At Kelly, we believe that the more inclusive we are, the better services we can provide. Requests for accommodation related to our application process can be directed to Kelly’s Human Resource Knowledge Center. Kelly complies with the requirements of California’s state and local Fair Chance laws. A conviction does not automatically bar individuals from employment. Kelly participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job Description When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons we rank as one of the top hospitals in the nation by U.S. News & World Report. From working with a team of committed healthcare professionals to using state-of-the-art facilities, you’ll have everything necessary do something incredible—for yourself and for others! Are you ready to be a part of breakthrough research? The Knott laboratory is searching for computational scientists to develop and apply machine learning tools to study next-generation single-cell datasets. The Knott lab is located in the Center for Bioinformatics and Functional Genomics at Cedars-Sinai Medical Center, in Los Angeles, California. The lab focuses on understanding the molecular mechanisms of disease using a combination of genomics, computational biology, and functional studies in animal models. To learn more, please visit Knott Research Lab | Cedars-Sinai. The Research Bioinformatician I performs general bioinformatics analysis and software support for projects involving in omics. The RBI manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The RBI assists in the development, testing, and maintenance of modular software pipelines, and provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. Primary Job Duties & Responsibilities: • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences. • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats. • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology. Qualifications Education: • Bachelor’s Degree in Computer Science, Electric Engineering, Computational Biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics). Master's degree is preferred. Experience and Skills: • No experience is required. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment, Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. About Us Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the Team Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 5224 Working Title : Research Bioinformatician I - Knott Lab - Center for Bioinformatics and Functional Genomics Department : Research - BMS - Bioinfo and Func Genomics Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Bioinformatics Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $71,219.20 - $121,076.80