Bioinformatics Jobs

The Department of Defense (DoD) is offering a Post Bachelor's or Post Master's internship at the Walter Reed Army Institute of Research (WRAIR) located in Silver Spring, Maryland. Within WRAIR, the Multidrug-Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Health System (MHS). The laboratory receives and processes (routine ID, Antibiotic Susceptibility Testing and Whole Genome Sequencing) ~1,000 new isolates of ESKAPE+ pathogens every month from military hospitals across the world, and routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. Our work directly impacts the DoD and MHS by: • Providing real-time analysis, at the genomic scale, of the prevalence and mobility of “superbugs”, outbreak and antibiotic resistance genes. • Conducting retrospective and prospective analyses on the emergence of antibiotic resistance and bacterial epidemiology across the entire enterprise. • Assisting healthcare centers and infection control services to detect and appropriately respond to outbreaks using the most advanced and accurate molecular methods available What will I be doing? Under the guidance of a mentor and as the selected candidate, you will gain extensive experience in the following: • Performing the comparative genomic analysis of hundreds of epidemiology-linked isolates (ongoing outbreaks in military hospitals) of MDR Enterococcus spp. Staphylococcus spp., Klebsiella spp., Acinetobacter spp., Pseudomonas spp., Enterobacter spp., and Escherichia coli. • Using a variety of bioinformatic tools and software to analyze bacterial genomes for the purpose of outbreak investigations and local, national, and international bacterial epidemiology. • Collaborating extensively with internal and external researchers on the molecular genetics of antibiotic-resistant bacteria. • Analyzing and researching the global dissemination of antibiotic-resistant bacteria and participate in real-time surveillance for these organisms throughout the MHS. • Gaining hands-on knowledge of both short-read and long-read DNA sequences using the Illumina Miseq and Nextseq systems and the Oxford Nanopore MinIon platform. • Conducting analyses using the most state-of-the-art software and bioinformatics tools. • Programming experience using Linux, Python, R. Broadly speaking, you will have the opportunity to have advanced hands-on learning experiences that will greatly enhance your professional career goals. Why should I apply? Under the mentorship of WRAIR staff, you will be part of establishing a fundamental understanding of translational, military-relevant scientific research. You will be encouraged to expand your network of scientific colleagues and seek collaborations within the U.S. Department of Defense, academia, and commercial companies. Furthermore, you will be challenged to develop new and innovative methods for analyzing bacterial genomes and will have the opportunity to make significant contributions to this emerging field while conducting research in one of the most comprehensive sequencing laboratories in the USA. Where will I be located? Silver Spring, Maryland What is the anticipated start date? The WRAIR is ready to make appointments immediately. Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships or fellowships will be filled as qualified candidates are identified. Appointment Length This appointment is a twelve-month, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the benefits? Participants will receive a stipend to be determined by WRAIR. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following: • Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE. • Relocation Allowance • Training and Travel Allowance About WRAIR The Walter Reed Army Institute of Research (WRAIR) aims to conduct biomedical research that is responsive to Department of Defense and U.S. Army requirements and delivers lifesaving products including knowledge, technology and medical material that sustain the combat effectiveness of the warfighter. WRAIR provides unique research capabilities and innovative medical solutions to a range of Force Health Protection and Readiness challenges currently facing U.S. Service Members, along with threats anticipated during future operations. See www.wrair.army.mil for more information. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview We are seeking a motivated and enthusiastic summer intern to join our bioinformatics team. This internship will provide hands-on experience in testing and benchmarking start-of-art deep learning-based variant callers, contributing to cutting-edge research in genomic data analysis. The intern will work closely with our bioinformatics scientists, gaining practical skills in variant calling pipelines, data processing, and performance evaluation. Essential Duties Include, but are not limited to, the following: Set up and run deep learning-based variant calling tools including DeepSomatic on synthetic or R&D generated genomic datasets. Test and benchmark various variant callers, focusing on accuracy, speed, and resource utilization. Analyze and compare results from different tools to determine their strengths and weaknesses. Collaborate with team members to refine evaluation criteria and report findings. Document processes, results, and insights gained during testing. Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. Support and comply with the company’s Quality Management System policies and procedures. Maintain regular and reliable attendance. Ability to act with an inclusion mindset and model these behaviors for the organization. Scheduling requirements: Ability to work designated schedule from June 2025 to August 2025. Physical requirements: Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 100% of a typical working day. Minimum Qualifications Senior Masters or Ph.D. student, majoring in Bioinformatics, Computational Biology, Data Science or a related field Have extensive experience of handling and analyzing Next Generation Sequencing (NGS) datasets. Familiarity with major bioinformatics algorithms, particularly variant calling process. Have experience with genomics data preprocessing and feature engineering. Must have a good understanding of genomics data and bioinformatic algorithm development process Experience with deep learning frameworks, concepts and techniques. Strong problem-solving skills and attention to detail. Good communication skills and the ability to work independently. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. #LI-AT1 Salary Range: $37,000.00 - $59,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis, and may differ by hiring location. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know. Exact Sciences encourages you to explore our open job opportunities. In an ever-growing online society, it's important to be vigilant about providing personal information online. Job applications are processed through our Workday Careers site (URL contains "myworkdayjobs.com") and all correspondence with recruiters, hiring managers, and other company representatives will match this email format: firstinitiallastname@exactsciences.com If you are questioning any correspondence from Exact Sciences, please email hr@exactsciences.com to confirm validity. At Exact Sciences, we're helping eradicate cancer by preventing it, detecting it earlier, and guiding its personalized treatment. Learn more about how we're committed to giving everyone more time for the moments that matter.

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university 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. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 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. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Bioinformatics Intern will apply broad skillsets in structural bioinformatics, statistical modeling, and machine learning algorithms to advance drug discovery projects. The candidate will integrate experimental data with genomic/structural database resources to design biologic modalities with optimized potency and developability. The candidate will work effectively in a matrixed organization with colleagues across functions to directly contribute to Takeda’s R&D pipeline. How You Will Contribute: • Build computational tools to guide the design of protein therapeutics • Perform molecular modeling to investigate the structural basis for binding interactions and functional properties of biological systems • Apply deep learning approaches such as biological language models, graph neural networks, and generative diffusion models to solve challenges in drug development • Create visualizations, interpret high dimensional data, and explain results to cross-functional teams. Prepare and present comprehensive scientific reports • Work collaboratively with scientists and engineering groups to enhance Takeda’s platform of analytics and bioinformatics tools Internship Development Opportunities: • Hands-on experience in bioinformatics and data analysis • Mentorship from experienced scientists and bioinformaticians • Exposure to real-world research projects and cutting-edge technology • Networking opportunities within the biotech industry • A collaborative and inclusive work environment Job Requirements: • This is hybrid position located in Cambridge, MA • Candidates must be currently enrolled in Masters or Doctoral program graduating December 2025 or later • Currently pursuing a degree in Bioinformatics, Computational Biology, Biology, Computer Science, or a related field • Familiarity with bioinformatics software and databases (e.g., BLAST, GenBank, UCSC Genome Browser) • Proficiency in programming languages such as Python, R, or Perl • Basic understanding of molecular biology, immunology, and statistical analysis • Strong analytical skills and attention to detail • Excellent communication and teamwork skills • Ability to work independently and manage time effectively Internship Eligibility • Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship • Must be currently enrolled in a degree program graduating December 2025 or later • The internship program is 10-12 weeks depending on the two start dates (June 2nd- August 22nd) or (June 16th - August 29th) • The intern must be able to commit to one of these time frames • Able to work full time 40 hours a week during internship dates • Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program Program Highlights: • Hands-on experience with real projects and responsibilities • Dedicated mentorship program pairing interns with experienced professionals • Networking opportunities with industry professionals and fellow interns • Internship events focused on professional and skills development • Exposure to multiple business areas or departments within a Pharmaceutical Organization Applications accepted between December 18th and January 12th Takeda Compensation and Benefits Summary We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Cambridge, MA U.S. Hourly Wage Range: $21.00 - $46.00 The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location. U.S. internship benefits vary by location and may include: • Paid sick time • Civic Duty paid time off • Participation at company volunteer events • Participation at company sponsored special events • Access to on-site fitness center (where available) • Commuter Benefit: To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Cambridge, MA Worker Type Employee Worker Sub-Type Paid Intern (Fixed Term) (Trainee) Time Type Full time Job Exempt No

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. GENERAL SUMMARY: Responsible for a wide range of technical tasks involving the creation and use of software for the display and manipulation of biological data. Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. PRIMARY DUTIES AND RESPONSIBILITIES: • Designs and develops software, databases and interfaces for analyzing and manipulating biological data. • Draws upon knowledge of biology to improve data mining and management techniques. • Collaborates with laboratory researchers to develop high throughput data processing and analysis capability. • Adds new software that has been internally developed or imported from outside sources to in-house systems. • Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data. • Provides direct technical and scientific customer support and helps guide, implement and maintain further improvements to bioinformatics software. • Works with the entire life science team to diagnose and fix issues with software. • Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 3-5 years relevant experience. Performs primary duties as above and has progressed to performing more advanced skillsets as directed. Requires general supervision with latitude for independent judgment. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: • Familiarity with simple programming using Perl/Python or Java, statistical programming using R or related tools, web-development, and database query through SQL. • Familiarity with principles of experimental design and modern data analysis paradigms is required. • Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts. • Excellent analytical, organizational and time management skills. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

About GenScript GenScript Biotech Corporation (Stock Code: 1548.HK) is a global biotechnology group. Founded in 2002, GenScript has an established global presence across North America, Europe, the Greater China, and Asia Pacific. GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy. GenScript is committed to striving towards its vision of being the most reliable biotech company in the world to make humans and nature healthier through biotechnology About GenScript ProBio GenScript ProBio is the subsidiary of GenScript Biotech Corporation, proactively providing end-to-end CDMO service from drug discovery to commercialization with proactive strategies, professional solutions and efficient processes in cell and gene therapy (CGT), vaccine, biologics discovery and antibody protein drug to accelerate drug development for customers. GenScript ProBio's total cell and gene therapy solution covers CMC of plasmid and virus for IND filing as well as clinical manufacturing and commercial manufacturing. In terms of plasmid service, GenScript ProBio supports the most clinical approvals for CGT drugs including mRNA vaccines, CAR-T in China. It is also the first GMP manufacturing platform to provide in vitro transcription (IVT) template linearized plasmids for mRNA vaccines and has supported several mRNA vaccine global enterprises to obtain clinical approvals. In terms of viral vector service, GenScript ProBio has a stable and high-yield viral vector platform. Job Scope: We are seeking a motivated and experienced bioinformatics developer to build an AL driven platform focused on analysis of synthetic DNA and mRNA. This will require collecting and analyzing large data sets built from a variety of sources including sequencing, RNA folding and structure computation and expression profiles. This position will involve research and collaboration with scientists and engineers to develop new molecular biology products and services. They will help to improve GenScript's proprietary semiconductor based high-throughput DNA synthesis technology and mRNA sequence design through AI-centric approach. Location: Redmond, WA Responsibilities: • Utilize state-of-the-art data mining technologies to process and analyze biological data (DNA/protein sequences. sequencing data, RNA structure computation and metadata) • Develop models and computational approaches which will identify and help determine DNA/RNA synthesis bias and provide insight into possible solutions to optimize the quality and implement of DNA synthesis. • Develop and implant AI algorithms to improve primer specificity or gene assembly. • Explore machine learning and other AI techniques to extract knowledge from large data sets and infer effective solutions for nucleic acid synthesis. • Work in a cross-functional team to propose, design, plan, operate, and perform experiments in research and development projects • Perform statistical data analysis and present the results. • Stay updated with the latest advancements in bioinformatics and AI technologies. Qualifications • PhD. or master's degree in bioinformatics, Computational Biology, Molecular Biology, Genetics, or a related field. • Extensive experience with AL tools, algorithms, and models relevant to bioinformatics. • Proficiency in programming languages such as JAVA, Python, R, and familiarity with AL frameworks like TensorFlow, PyTorch, etc. • Demonstrated experience in integrating AL tools into Bioinformatics workflows. • Proven track record of designing and optimizing DNA primers and sequences using advanced computational methods. • Strong analytical skills and the ability to interpret complex biological data. • Ability to troubleshoot and optimize bioinformatics processes and workflows. • Knowledgeable in molecular biology, biochemistry, enzymology, DNA, RNA and protein synthesis mechanisms. • Demonstrated initiative and pursuit of successful collaborative research projects with interdisciplinary team. • Excellent documentation practices. Able to prepare documents including software design documentation, data summaries, technical, analytical, and scientific reports, and transfer the procedures to manufacturing. • Sel-motivated and passionate. Comfortable to work in a fast-paced work environment. #LI-SL3 #GS GenScript USA Inc/GenScript ProBio USA Inc. is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is the Company's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law. GenScript USA Inc./GenScript ProBio USA Inc. maintains a drug-free workplace.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Responsibilities Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater - please provide transcripts. Experience with Java, SQL, and XML highly desired. Exemption Status Nonexempt Compensation Detail This position has a predetermined rate of $27.76 per hour. Candidates with previous Mayo Clinic experience may be eligible for a higher fixed hourly rate. Benefits Eligible No Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday; May – Sept appointment timeline Weekend Schedule NA International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Stephanie Baird

The US Air Force School of Aerospace Medicine (USAFSAM) has a bioinformatics fellowship opportunity open to those who have obtained a master's degree in the field of Biological Sciences, Public Health, Biocomputing, or similar field. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to further the fellow’s knowledge of infectious disease surveillance, wastewater surveillance, genomic sequencing, and data collection, management and visualization. The purpose of this training fellowship is to provide an educational experience to individuals interested in the fields of public health, infectious disease, epidemiology, and surveillance. The fellow will gain insight into how to communicate data and findings from a surveillance network to decision-makers, other researchers, and the public. Fellows will train within the United States Air Force School of Aerospace Medicine’s Applied Technology and Genomics division and can expect to gain valuable experiences in bioinformatics, high performance computing, and infectious disease surveillance. The fellow will also participate in activities related to database cleaning, data analysis, data visualization, and interpretation of results. The fellow may also have opportunities to develop manuscripts and/or posters or oral presentations for academic conferences. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Analyze large-scale data and summarize findings using statistical software • Develop analysis pipelines and workflows utilizing available platforms • Perform data analysis and develop visualizations using public and in-house tools and dashboards • Collaboration and participation in meetings • Be involved with verbal and written presentations of studies at scientific conferences • Preparation of literature searches, scientific manuscripts, posters, presentations, and other information Where will I be located? The location of this appointment may vary. What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve-month research appointment at a full-time level of participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the appointment provisions? You will receive a stipend to be determined by USAFSAM. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About USAFSAM The 711th Human Performance Wing’s U.S. Air Force School of Aerospace Medicine (USAFSAM) was established in 1918 and is the premier institute for education and worldwide operational consultation in Aerospace and Operational Medicine. USAFSAM has been a leader in the field of aerospace medicine and human performance from the beginnings of aviation through the onset of the space age and into the present, and is the oldest continually operating institution of its kind. It is also host to the largest aeromedical library in the world. By joining forces with the Air Force and Navy Research Laboratories, USAFSAM fully leverages aeromedical, science, and technology to optimize performance, health, and survival of healthy humans in abnormal or extreme environments, including combat, air, space, and cyberspace. The Applied Technology and Genomics (PHT) Division is a Biosafety Level-2 laboratory, and the only research genetics laboratory in the USAF that can support several projects focusing on: bacterial/viral culture, DNA/RNA extraction, PCR amplification, DNA printing (primers/probes/synthetic constructs), next-generation sequencing, microscopy, analysis of genetic code, and secured storage of genetic code. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

Variant Bio is a Seattle-based biotechnology company leveraging the power of human genetic diversity to develop life-saving therapies. To achieve this goal, we are studying the genes of people who are outliers for medically relevant traits, then translating insights from this research into the discovery and development of new therapeutics. Variant Bio has raised $130mm to support the rapid advancement of the company’s research and development work. Our investors include Lux Capital, Alta Partners, General Catalyst, SoftBank Vision Fund, Cercano Management and Casdin Capital, among others. Our growing team of geneticists, medical researchers, biologists, and drug hunters is working to advance multiple projects through target validation, lead optimization, and into the clinic, in relentless pursuit of our goal to bring life-saving therapies to patients. Ethics is at the foundation of everything we do at Variant Bio. Our genomic research studies are co-designed with local partners around the world. In addition, we are committed to sharing tangible benefits with research partners and communities through our unique Benefit-sharing Program and Affordable Medicines Pledge. Variant Bio is an equal opportunity employer that guarantees a work environment that respects and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Job Description We are looking for a bioinformatician with expertise developing and running computational pipelines to study human genomic and transcriptomic data with a focus on immune-related genes. The ideal candidate should have a strong foundation in method development and an interest in researching, developing, testing and adapting cutting-edge methods for sequence data analysis. The candidate we are seeking will have experience analyzing large-scale whole-genome and transcriptome data sets and ideally some hands-on experience with AWS. The candidate will be part of a team of computational biologists with expertise spanning bioinformatics, statistical genetics, population genomics, and functional genomics. We encourage candidates who are passionate about increasing the inclusion of underrepresented populations in genomic research to apply, as this is a core mission of Variant Bio. It is strongly preferred that this role is based in Seattle, WA and in the office a minimum of 3 days a week. Responsibilities • Research, test, develop and run bioinformatics methods to analyze genomic and transcriptomic sequencing data, with a focus on genotyping highly similar alleles in immune-related loci. • Develop benchmarking methods for genotyping of highly difficult and complex regions in the human genome using short-read and long-read sequencing data. • Process and analyze whole genome sequencing data from diverse populations, including variant calling, imputation, and extensive quality control. • Process and analyze bulk and single-cell transcriptomic data, including expression quantification, TCR/BCR profiling, and differential expression analysis. • Run, maintain, and add to bioinformatics methods and workflows for analysis of large-scale data using AWS cloud compute. • Work with software engineers and cloud architects to automate workflows and build robust infrastructure. • Disseminate results internally and externally and contribute to presentations and publications. Qualifications • Ph.D. degree with 2+ years, Masters degree with 6+ years, or Bachelors degree with 8+ years of relevant work experience in bioinformatics, computational biology, statistics, computer science, or a related field. Experience in immunology is a plus. • Experience processing large-scale WGS data using standard bioinformatics software packages, such as FASTQC, GATK, samtools, bedtools, bcftools, etc. Experience working with RNA-seq data and relevant software packages is a plus. • Strong programming skills and experience with high performance computing; proficiency in bash, Python, R; experience programming in Java/C++ preferred. • Software development experience using e.g. git and Docker. • Experience with cloud-based computing on AWS; experience with Nextflow on AWS Batch a plus. • Familiarity programmatically interfacing with relational databases such as MySQL a plus. • Good working knowledge of public human genomic resources, such as the 1000 Genomes Project, the Human Genome Diversity Project, gnomAD, the UK Biobank and other biobanks. • Publication record in the field of genomics a plus. • Independent, creative, detail-oriented, and a critical thinker. What We Offer • Opportunity to be part of a well funded and highly innovative biotech. • Competitive, industry leading salary, and comprehensive benefits including medical, dental, vision, short and long term disability and life insurance. • 401(k) plan through Fidelity that includes up to 3% employer match and flexible investment options. • Flexible paid time off. • Choice of public transportation (Orca Card) provided by the company or subsidized parking. • Centrally located Eastlake, Seattle location in a new Alexandria building with modern facilities. Anticipated annual base salary for this position is $125,000 - $160,000 plus up to 10-15% bonus and an options package, for total compensation of up to $138,750 - $184,500, plus equity options. The annual salary range above is based on the responsibilities and qualifications listed above. Individual salary will depend on job-related knowledge, skills, and experience. Don't meet every single requirement but are excited to join the Variant Bio team? If your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may still be the right candidate for this or other roles.

The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science. The mission of the Allen Institute for Immunology is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community. The Allen Institute for Immunology is seeking a Bioinformatics Analyst with experience in analysis reproducibility and standardization, building modular, reusable packages, and generating interactive data visualizations to support our public-facing data distribution efforts. The ideal candidate is a self-motivated team player who understands next gen sequencing (NGS) platforms and the analysis and visualization of their analytical outputs to work closely with bioinformaticians and software developers. The successful candidate will play a key role in standardizing data analyses and interactive tools developed by, or in collaboration with, our computational biologists for use by non-coding scientists and project leads. This is limited term position expected to last through December 2025. The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role. Essential Functions • Work closely with computational biologists and software developers to implement, improve, and standardize secondary data analysis processes, including cell type labeling, differential gene expression, and pathway enrichment • Develop reusable packages to encapsulate existing code (Python) for standardized analysis and reusable data visualization components • Work closely with immunologists and assist with training non-coding participants in the use of interactive analysis and visualization tools • Work with immunologists to develop novel interactive visualization tools to support specific project needs • Assist scientists and software developers in building and maintaining web resources using a content management system • Meet project deadlines and be able to pivot between multiple projects Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Required Education And Experience • Bachelor’s degree in a scientific, computer science, or related field • 2 years of equivalent experience Preferred Education And Experience • Master’s degree in a scientific field or equivalent combination of degree and experience in biological research • A minimum of 2 years’ experience in analyzing omics data • Basic knowledge of human immunology • Experience performing bioinformatic analysis • Experience in writing scripts for data analysis • Experience releasing software/code for use by others • Fluency in Python or R, basic understanding of HTML and CSS • Familiarity with Git and Github or similar platforms for version control • Experience in generating high quality visualizations • Conceptual understanding of molecular biology and wet-lab omics technologies • Familiarity with cloud computing and/or linux • Familiarity with the Plotly and Dash packages for Python • Familiarity with JavaScript programming • Familiarity with Test-Driven Development • Familiarity with Agile project management • Demonstrated success in a multidisciplinary team environment • Excellent written and verbal communication skills and organizational skills • Good problem-solving skills and eager to learn new skills • Able to work independently as well as in a collaborative high paced environment under minimum supervision • Self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment; lab equipment • Working at a computer and using a mouse for extended periods of time Position Type/Expected Hours of Work • Occasional evening and weekend hours may be required • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State. • This is a limited term position expected to last through December 2025 based on business needs and funding Travel • Attendance and participation in national and international conferences may be required. Note that travel may not be required to attend Additional Comments • **Please note, this opportunity offers relocation assistance** Annualized Salary Range • $90,900 - $112,400 * • Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.