Bioinformatics Jobs

Summary The person in this position (Bioinformatics Analysts 1) works closely with an experienced computational microbiologist and performs bioinformatic analysis on human nasal microbiota data and human nasal organoids. Experience working in R is a must, with a preference for also having experience scripting in R (python, or perl). The ability to work on a assigned tasks independently and meet deadlines is important, as is the ability to provide assistance with R and bioinformatic analysis to microbiologists in the lab. Job Duties • Work closely with an experienced computational microbiologist to: • Research, assess, and test third-party bioinformatic workflows and software. • Establish, test, and improve bioinformatic workflows. • Establish a custom database to storage and process data generated from Human Nasal Organoid wet-lab experiments. • Use computational analyses and biological interpretation of results to review existing data and propose improvements. • Ensure proper documentation, accuracy and storage of all data generated using bioinformatic tools. Assist microbiologists in lab to learn documentation skills and to perform basic bioinformatic analyses using workflows. • Maintain computational resources in the lab, which includes taking the lead on troubleshooting any hardware, software, or platform issues and interfacing with BCM IT and outside software/hardware vendors. • Generate data for publication. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a related field. • One or more years of microbiome or bacterial bioinformatics experience. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

Job Description The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals The Future Talent Program within the Research and Development Division Data, AI, and Genome Sciences (DAGS) Department is offering co-op opportunities that last a period of six months. There are two positions in the Precision Genetics group. Candidates can apply for the opportunity to be involved in a computational project designed to enable students to further develop their skills and to evaluate if we are the right company for their long-term goals. We are seeking highly motivated and talented students with computational skills and experience. Precision Genetics (2 positions, preferred in person Cambridge MA, will consider remote): • Build and maintain large-scale genetics and genomics datasets (e.g., GWAS, cell-type QTL, epigenetics, and Hi-C data) to be incorporated into various pipelines. • Implementation of latest published statistical and computational methods to improve statistical power and computational efficiency in statistical genetics analyses. • Assist with development of a scalable causal gene identification pipeline designed to generate high-confidence gene lists for target identification and prioritization by integrating multiple existing computational pipelines and data types. Required Education and Skills: • Candidates must be currently enrolled in a minimum of a Bachelor's degree program in Biological Sciences or a related field of study. Students enrolled in graduate programs (MS or PhD) are highly encouraged to apply. • Candidates must be available to work full-time for 6 months in 2024. Preferred Skills and Experience: • Candidates must have excellent academic achievement and analytical ability. • Candidates must have demonstrated superior communication and interpersonal skills and must be able to work well in a collaborative team environment. • Candidates may have interests/experience in ANY of the fields of molecular biology, immunology, oncology, cell biology, neuroscience, or bioinformatics. • For this computational project, specific skill sets could include one or more of the following: experience with R or Python programming languages, analysis of bulk or single cell datasets. Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education. Expected salary range: $39,600.00-$105,500.00 FTP2025 MRL2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Intern/Co-op (Fixed Term) Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Job Posting End Date: 10/28/2024 • A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R311679

Scheduled Hours 20 Position Summary Provides critically complex research and experimentation for department/s allowing the advancement of scientific analysis and discovery. Serves as a subject matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department. Job Description Primary Duties & Responsibilities Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and dissemination of large data sets. Coordinates research project with other investigators and institutions. Participates in developing hypotheses and experimental design. Assists with reporting of methods, data and results. Preferred Qualifications Analytical, reasoning and problem-solving skills. Good understanding of computational biology. Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies and model organism studies and to communicate data in a clear, concise manner. Expertise in standard bioinformatics tools. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or master’s degree in computer science, bioinformatics, biostatistics, or related field; or combined education and experience of seven years. Grade R09-H Salary Range $21.40 - $36.37 / Hourly The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget. Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ. Accommodation If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits. EEO/AA Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. Diversity Statement Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply. Should I consider applying to older job postings? Yes. Due to the unique needs of each search, the selection process may occur at different paces for open positions. Individuals are encouraged to apply to all open positions of interest for which they meet the Required Qualifications. Washington University's collective success is significantly attributed to the passion and outstanding efforts of our community. Our faculty and staff are committed to excellence and dedicated to carrying out our missions of research, teaching and patient care. WashU prides itself on being a place where people matter, and serious work is done. Our people work together in an inclusive community that celebrates diverse perspectives, collaboration and innovation. We are a community of individuals inspired to work together to develop big ideas and tackle challenging problems. We value the well-being of our people. Washington University strives to create a positive employee experience where faculty and staff thrive, both personally and professionally. Our faculty and staff find meaning, connection and vitality in their work and life with a healthy work-life balance and support to learn, grow and make an impact at WashU, the community and the world. Useful Links Who We Are Human Resources Benefits Living in St. Louis Frequently Asked Questions Accommodation If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. 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Career Category Scientific Job Description HOW MIGHT YOU DEFY IMAGINATION? You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission-to serve patients-drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role. Scientist – Bioinformatics, Computational Biology, Proteomics Live What you will do Let’s do this. Let’s change the world. In this vital role you will conduct statistical analysis, data ingestion, database development, and computational pipeline implementation for internal and external mass spectrometry-based and other types of proteomics data to support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies. You will work closely with other scientists in Discovery Proteomics and Research Technologies, computational biologists in the genomics group, and software engineers in the research informatics team to support cross-functional collaborations. Demonstrated expertise in modern data analysis and statistical methodologies applied to mass spectrometry-based proteomics studies is essential. The successful candidate will join the Discovery Proteomics group at our South San Francisco campus. This group is tasked with developing and implementing proteomic characterization technologies in support of Amgen’s early discovery pipeline. • Implement data analysis, management, and visualization strategies for the complex proteomics/phosphoproteomics/glycoproteomics data generated by mass spectrometry and other technologies. • Develop and establish computational solutions for differential protein expression analysis, protein turnover rate estimation, and protein-protein interaction identification using proteomics data. • Work closely with scientists from different functions and therapeutic areas, deliver and present analysis results to key stakeholders • Collaborate across proteomic platforms for data integration and mining, and utilize available external resources where appropriate. Win What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a computational biologist/bioinformatics scientist with these qualifications. Basic Qualifications: • Doctorate degree OR • Master’s degree and 2 years of scientific experience OR • Bachelor’s degree and 4 years of scientific experience Preferred Qualifications: • PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology. Post-doctoral experience preferred, but recent doctoral candidates with highly relevant experience are encouraged to apply. • Expertise in large-scale quantitative proteomics and other omics data analysis. • Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches. Familiarity with deep learning packages is a plus. • Working knowledge of Unix/Linux and cloud computing (AWS) environments. • Experience in version control, Docker containers, and other standard processes for coding project management, reproducible data analysis, and documentation. • Experience with quantitative analysis using DIA and DDA datasets from various experimental designs. • Experience in analyzing large-scale post-translational modification proteome studies, protein-protein interactomes, and/or protein turnover studies. • Experience in meta-analysis with publicly available large proteomics studies (e.g., GTEx, CPTAC) • Experience in workflow languages (e.g., Nextflow) and pipeline development • Knowledge of Proteome Discoverer, Spectronaut, Skyline, MaxQuant, DIA-NN, MSstats, OpenMS, and other data processing pipelines/algorithms used in the proteomics field. • Strong background in biology or chemistry with focus in human diseases in the fields of Immunology, Oncology, Inflammation, and Cardiometabolic Disease. • Basic understanding of genomics and transcriptomics technologies and data properties. • Proven track record of independent critical thinking and scientific achievement. • Strong verbal and written skills, ability to work independently as well as in small teams. Willingness to collaborate effectively across scientific disciplines and with colleagues in cross-functional teams. • More seasoned candidates may be considered for Sr Scientist role Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: • Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans and bi-annual company-wide shutdowns • Flexible work models, including remote work arrangements, where possible Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Pay range for this role is $116-132k Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Salary Range – Tagged as: Computer Science, Data Science, Life Sciences

The mission of the AllenInstitute 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 AllenInstitute 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 Manager of Bioinformatics Operations with broad experience in analyzing and developing analysis tools for single-cell omics data to manage day-to-day bioinformatics operations. Reporting to the Director of Informatics & Computational Biology at the Allen Institute for Immunology, the ideal candidate is a self-motivated team player who can work closely with immunologists, bioinformaticians, and software developers. The ideal candidate is an excellent communicator who can translate ideas into solid data analysis plans and testable hypotheses, an experienced tool developer who can standardize internal and external analysis scripts, a good organizer who can manage multiple projects simultaneously, a quick learner who can adapt new methodologies to achieve goals, and a tireless worker who can complete projects under time constraints. The successful candidate will mentor and manage a small group of Bioinformatics Analysts. 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 • Perform and/or supervise analysis of clinical metadata and multi-modal omics data, including but not limited to: scRNA-seq, scATAC-seq, CITE-seq, TEA-seq, flow cytometry, and proteomics • Lead continuous standardization and improvement on our data analysis pipelines, including both internal and external software tools • Develop data analysis plans and execute the plans for hypothesis generation • Review, implement, troubleshoot, and improve analytic methods developed by others internally or externally • Develop and/or implement new analysis pipelines with cross-functional teams • Meet production deadlines for data analysis and be able to pivot between multiple projects • Manage a small group of Bioinformatics Analysts 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 proscribe or restrict the tasks that may be assigned. Required Education And Experience • Bachelor’s degree in a scientific field • 6 years of equivalent experience • Broad experience in analyzing diverse types of data, including clinical metadata and high throughput omics data • Demonstrated experience in developing tools for omics data analysis • Experience in leading bioinformatics projects • Track record of working with cross-functional teams • General understanding of molecular biology and wet-lab omics technologies • Fluency in R and/or Python Preferred Education And Experience • Master’s or PhD in bioinformatics or closely related disciplines, with a minimum of 3 years of equivalent experience • 6-10 years of experience in biological and/or medical research • Basic knowledge of human immunology • Familiarity with cloud computing and/or Linux • Experience using Git or similar version control system • Excellent organizational, teamwork, presentational and communication skills • Good judgment and problem-solving skills, curious, and eager to take new challenges • Demonstrated success in a multidisciplinary team environment • Experience in mentoring and/or managing junior colleagues • Self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously under time constraints Work Environment • May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type/Expected Hours of Work • Occasional evening and weekend hours 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. Travel • Attendance and participation in national and international conferences may be required Additional Comments • **Please note, this opportunity offersrelocation assistance** • **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range • $132,350 - $165,400 * • 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.

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion. The Bioinformatics Analyst II provides highly specialized consulting and data analysis services to researchers at the Hutch and across the wider FredHutch/UW Cancer Consortium. Serving a large and diverse user base, the Analyst must prioritize communication and timely customer service. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, and research staff on a wide range of topics in computer science, and biology. To provide the most personalized service, the Analyst works closely with the members of the Gujral Lab to ensure that that data quality is high, and the most appropriate analytical methodologies are chosen. Given the large volumes and diverse types of data generated and integrated in these projects, practical applied programming skills are also essential. This position will be 100% onsite at our Seattle South Lake Union campus. and works with members of the laboratory of Dr. Taran Gujral in the Division of Human Biology. This position provides a rich environment to learn about cell biology and the drug discovery process. Candidates will also have the opportunity to present their research during lab meetings and scientific conferences and to write, submit, and publish scientific papers. Responsibilities • Develop and implement machine learning pipelines for analyzing in-house generated drug screening and molecular profiling datasets. • Identify appropriate computational modeling tools to meet the needs of proposed projects. • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community. • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications. Qualifications MINIMUM QUALIFICATIONS: • Bachelor’s degree in computer science, or related field with at least three years’ direct experience in computational analysis of large scale data sets. • Experience in applying machine learning approaches to analyze large scale datasets. • Effective use of shell scripting and significant fluency in R and Python 3 are essential. • Facility with commonly used packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). • Excellent written and verbal communication skills are absolutely required. PREFERRED QUALIFICATIONS: • Master’s degree in computer science, computational biology, Systems Biology or related field • At least two years’ direct experience in building computational models and analysis of large data sets. • Experience in machine learning or artificial intelligence work is essential, with cheminformatics and generative modeling experience a plus. • Proficiency in programming and scripting languages such as Python, C/C++, and/or R etc. • Experience in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Kera's, PyTorch, Pandas, Scikit-Learn, or RDKit is preferred. A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. The annual base salary range for this position is from $76,606 to $114,878, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Our Commitment to Diversity We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

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 Scientist to implement and/or develop data analysis pipelines for Spatial Biology data and analyze Spatial Biology data to gain biological insights. Reporting to the Director of Informatics & Computational Biology, the ideal candidate is a self-motivated team player who can work closely with immunologists and bioinformaticians, is an expert in analyzing Spatial Biology transcriptomics, protein, and imaging data, and has a track record of discovering novel biological insights from omics data. The successful candidate will also have excellent communication skills that can represent our efforts to our stakeholders internally and in external forums. 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 • Implement and/or develop analysis pipelines for Spatial Biology data, including but not limited to: transcriptomics, protein, and/or imaging • Work closely with cross-functional teams to analyze Spatial Biology data, identify potential biomarkers and/or drug targets for disease of interest, either as an independent contributor or as a project leader • Write reports, research papers, patent applications, and other documents • Represent our efforts to our stakeholders internally and in external forums • Contribute to a rigorously scientific, cohesive and efficient team environment 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 proscribe or restrict the tasks that may be assigned. Required Education And Experience • PhD in bioinformatics, biostatistics, computational biology, or closely related disciplines, or equivalent combination of degree and experience Preferred Education And Experience • Demonstrated experience in analyzing Spatial Biology data, including but not limited to: transcriptomics, protein, and/or imaging data • Experience in implementing and/or developing new data analysis pipelines • Familiar with Spatial Biology technologies • A track record of discovering novel biological insights from omics data • Foundational knowledge of bioinformatics • Experience with R and/or Python • Strong publication record • Familiar with advanced statistical methods and machine learning for biomarker discovery • Experience working in a cross disciplinary, team-based environment • Experience working with outside collaborators to achieve defined objectives • Familiarity with cloud computing and/or Linux • Experience using Git or similar version control system • Excellent written and verbal communication skills and organizational skills • Good problem-solving skills, curious and eager to take new challenges • Able to work independently as well as in a collaborative high paced environment • The successful candidate must be self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously Work Environment • May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type/Expected Hours of Work • Occasional evening and weekend hours 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. Travel • Attendance and participation in national and international conferences may be required Additional Comments • **Please note, this opportunity offersrelocation assistance** • **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range • $89,100 - $110,200 * • 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 outline 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 Institutes 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.

Part-time Lecturer, Programming and Biological Science Courses for the Bioinformatics Graduate Program, Portland About the Opportunity Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science professionals with a desire to teach for the Bioinformatics Professional Science Master's (PSM) Program depending upon the programs' needs and enrollment. Responsibilities: Responsibilities include the following: review and learn key teaching points within existing instructor guides; be willing to support high-quality teaching and standards through preparation of lectures based on course materials provided; facilitate rich respectful debates and discussions in an in-person or online class; provide timely review and grading of assignments with appropriate coaching and feedback to the students; consistently connect with students and their performance; contribute to the program's curriculum development efforts; and adhere to Northeastern's policies. Part-time instructors work under the direction of the director with support from a faculty lead and will hold office hours as appropriate. Qualifications: PhD in bioinformatics, biology, or a closely related field. Experience with the application of computational methods to biological problems. Either prior experience in teaching or more than 3 years of experience in course-relevant industry or academic work is required. Proven platform skills required, as in an open, supportive personal style willing to receive assistance and coaching when needed from the faculty lead. Prior experience in a diverse higher education institution preferred. Knowledge of Python and/or R programming languages is strongly recommended. Documents to submit: CV/resume cover letter 3 references - provide name, title, company, phone, email, relationship (e.g. my current supervisor) Position Type Academic Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity. To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Portland-ME/Part-time-Lecturer--Programming-and-Biological-Science-Courses-for-the-Bioinformatics-Graduate-Program--Portland_R114296 jeid-e3faec1f2c37394597ff4370a112e761

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion. The Bernstein, Furlan, and Hadland labs at Fred Hutch are offering an exciting opportunity for a highly motivated Bioinformatics Analyst to join our team. This role will focus on utilizing single-cell genomics data to drive innovative insights into blood cell development and cancer biology. As part of our interdisciplinary research environment, you will have the chance to collaborate with leading scientists in computational biology and experimental genomics. Responsibilities • Conduct and optimize single-cell genomics analyses, applying state-of-the-art techniques to explore complex biological data. • Collaborate with the computational biology team to refine and enhance existing analysis pipelines and workflows. • Work closely with project leaders to assist in the design and implementation of experiments, integrating computational strategies to address key research questions. Qualifications MINIMUM QUALIFICATIONS: • Bachelors degree in bioengineering, computer science, bioscience, or a related field. • Proficiency in Python or R for computational analysis. PREFERRED QUALIFICATIONS: • Strong academic performance with a desire to gain hands-on research experience that supports your academic and professional development. • Exceptional organizational skills, attention to detail, and a passion for conducting rigorous and impactful research. • Experience in single-cell genomics, bioinformatics, or related areas. • Familiarity with data analysis pipelines, machine learning methods, or advanced statistical techniques. • A proactive, collaborative attitude with the ability to work effectively in a fast-paced research environment. A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists. The annual base salary range for this position is from $67,728 to $99,237, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Our Commitment to Diversity We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Overview The Bioinformatics Technical Program Manager is responsible for the vision, roadmap, execution, operational support and life cycle management of the particular Program. The BxPM works at the intersection of Technology, Business and User experience, ensuring the Program meets the needs of current/future organizational priorities and goals. Responsibilities • Laser focused on understanding and representing the voice of customer • Define vision of the Program • Align stakeholders around the vision of the Program • See through the conception, execution, implementation, operation and training • Negotiate and prioritize Program features and capabilities • Promote synergistic, collaborative and empowered teams • Understand and monitor the technology and competitive landscapes • Negotiate pricing for underlying technologies, licenses or dependencies and manage budget for the Program development and ops. • Manage Program backlog • Define or contribute to definition of user stories • Be accountable for execution by working closely with the research, data science and development bioinformatic teams • Communicate clearly with Program team and business stakeholders • Serve as the Program expert • Minimize risk and plan to avoid single points of failures • Escalates issues as appropriate Qualifications Required Work Experience: • BS with 5+ years of work experience developing or managing biological software programs or 3+ years with a Master’s Degree or 1+ years with a Ph.D. • 3+ years subject matter expertise in bioinformatics or specific area of life sciences • 3+ years software engineering experience • 3+ years experience in program management EDUCATION Bachelor’s Degree(Required)Doctorate DegreeMaster’s Degree EEO Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets