senior bioinformatics scientist

Peraton

<div><div><h5 class="jobSectionHeader"><b>ABOUT PERATON</b></h5><p>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</p></div><div><h5 class="jobSectionHeader"><b>
ABOUT THE ROLE</b></h5><div><div>
Peraton is seeking an experienced scientist to provide technical analysis and targeting support to identify and counter biological threats. This role requires a strong background in microbiology, molecular biology, and/or related fields, as well as experience with technical analysis and targeting. The ideal candidate will possess excellent interpersonal skills and a forward-leaning approach to successfully develop relationships across organizations.</div><div></div><div><br>
The scientist will be responsible for the following, but not limited to:</div><ul><li>
Leverages scientific expertise combined with cyber tools, datasets, and methodologies to analyze all-source information, help drive targeting efforts, disrupt threats, and advance mission priorities.</li></ul><ul><li>
Conducts technical research and analysis to reveal biological threats, expansion of development programs, program goals, and the proliferation of related technology.</li></ul><ul><li>
Drafts reports that provide actionable insights to support decision-making.</li></ul><ul><li>
Collaborates with cross-functional teams, including bioinformatics, targeting, and analytic, to provide technical expertise and support.</li></ul><ul><li>
Provides subject matter expertise in the areas of</li></ul><ul><ul><li>
Biology</li></ul></ul><ul><ul><li>
Biochemistry</li></ul></ul><ul><ul><li>
Biological Agent Production</li></ul></ul><ul><ul><li>
Biotechnology</li></ul></ul><ul><ul><li>
Genetic Engineering/Editing Techniques</li></ul></ul><ul><ul><li>
Microbiology</li></ul></ul><ul><ul><li>
Molecular Biology</li></ul></ul><ul><ul><li>
Synthetic Biology</li></ul></ul></div></div><div><h5 class="jobSectionHeader"><b>
QUALIFICATIONS</b></h5><div><div><i>
Required</i></div><br>
<div></div><ul><li>
Must possess an active, TS/SCI clearance with polygraph</li></ul><ul><li>
Bachelor's degree in Microbiology, Molecular Biology, Biochemistry, Chemistry, or a related technical field; advanced degree (MS or PhD) preferred</li></ul><ul><li>
12+ years of experience with BS/BA</li></ul><ul><li>
5+ years of IC experience, with at least 2 years in a counterproliferation mission area</li></ul><ul><li>
Strong research and analytical skills, with the ability to critically evaluate complex scientific information</li></ul><ul><li>
Excellent written and verbal communication skills, with the ability to develop clear and concise technical reports and briefings</li></ul><ul><li>
Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines</li></ul><div><i>
Desired</i></div><br>
<div></div><ul><li>
Experience with bioinformatics tools and databases</li></ul><ul><li>
Familiarity with the Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) workflow</li></ul></div></div><div><h5 class="jobSectionHeader"><b>
DETAILS</b></h5><div><p>
<b>Target Salary Range:</b> $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</p></div><div><p><b>Benefits Statement:</b>
</p></div><div><p><b>Application Duration Statement:</b>
</p></div><p><b>EEO:</b> Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</p></div></div><div></div>

SENIOR BIOLOGIST

Bristol Myers Squibb

<div><b>Working with Us</b><br>
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.<br>
<br>
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .<br>
<br>
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
<br>
<br>
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company.&quot; We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.<br>
<br>
Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.<br>
<br>
<b>Summary</b><br>
<br>
We are seeking a highly motivated and innovative Principal computational scientist to lead efforts at the intersection of machine learning, agentic AI, and oncology target discovery. In this role, you will create and implement advanced algorithms and agent-based tools to analyze complex biological and clinical datasets to identify new therapeutic targets and deepen our understanding of resistance to standard care. In close partnership with cross-functional teams, you will integrate functional screens, diverse 'omics and real-world data to generate actionable insights. This role offers a unique opportunity to establish and scale cutting edge analytical capabilities that meaningfully accelerate oncology target discovery and improve patient outcomes.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Design, build, and deploy applied AI and agentic systems to automate and augment analytical workflows for target identification and validation using high-throughput omics, functional genomics, and perturbation screening data.</li><li>
Lead the integration of agentic and machine learning solutions into cross-functional research workflows in close collaboration with stakeholders.</li><li>
Integrate and analyze large-scale, patient-derived, multimodal datasets to elucidate disease biology, resistance mechanisms, and patient stratification opportunities.</li><li>
Translate complex analytical results into clear, actionable insights that inform scientific strategy and enable decision-making.</li><li>
Author scientific reports and present methods, results, and conclusions to a publishable standard.</li><li>
Contribute to the planning and execution of collaborative projects within and across functional groups.</li></ul><b>
Basic Qualifications
</b><ul><li>B achelor's Degree 8+ years of academic / industry experience
</li><li>or Master's Degree 6+ years of academic / industry experience
</li><li>or PhD 4+ years of academic / industry experience
</li></ul><b>Preferred Qualifications</b><ul><li>
Ph.D. in Computational Biology, Systems Biology, Computer Science, Machine Learning, Statistics, or a related quantitative field.</li></ul><ul><li>
Demonstrated experience developing and deploying applied AI agents and/or complex LLM-driven applications in research or industry settings.</li><li>
Strong understanding of analytical approaches for functional genomics, single-cell and spatial 'omics, and real-world patient data.</li><li>
Solid grounding in systems biology, molecular biology, and/or disease biology within a drug discovery context; experience in oncology is strongly preferred.</li><li><b>
Scientific Impact:</b> Strong publication record in machine learning, bioinformatics, or computational biology, with the ability to clearly and effectively communicate scientific research to peers.</li><li><b>
Soft Skills:</b> Excellent communication and collaboration skills, with the ability to operate effectively in ambiguous, fast-paced research environments and influence diverse stakeholders.</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
<br>
<br>
<b>Compensation Overview:</b><br>
<br>
Cambridge Crossing: $166,770 - $202,086
<br>
<br>
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
<br>
<br>
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
<br>
<br>
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
<ul><li><b>Health Coverage:</b> Medical, pharmacy, dental, and vision care.</li><li>
<b>Wellbeing Support:</b> Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li><b>Financial Well-being and Protection:</b> 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
</li></ul><b>Work-life benefits include:
</b><br>
<br>
Paid Time Off
<ul><li>US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
</li><li>Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
</li></ul>Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
<br>
<br>
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.<br>
<br>
<ul><li><b>Eligibility Disclosure: </b>T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
</li></ul><br>
<b>Uniquely Interesting Work, Life-changing Careers</b><br>
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.<br>
<br>
<b>On-site Protocol</b><br>
<br>
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
<br>
<br>
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
<br>
<br>
<b>Supporting People with Disabilities</b><br>
<br>
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
<br>
<br>
<b>Candidate Rights</b><br>
<br>
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
<br>
<br>
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
<br>
<br>
<b>Data Protection</b><br>
<br>
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .<br>
<br>
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<br>
<br>
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
<br>
<br>
R1600329 : Principal Scientist, Oncology Informatics, AI agents</div>

Principal Scientist, Oncology Informatics, AI agents

oura

<div><div><p>Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.</p>
<p>
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work &mdash; both in and out of the office.</p></div><div><p>
We are looking for a <b>Senior Algorithm Scientist</b> to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.</p>
<p><b>
What you will do:</b></p>
<ul>
<li>Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities</li>
<li>Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product</li>
<li>Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes</li>
</ul><ul><li>Develop and maintain internal signal evaluation tools and libraries to help Oura&rsquo;s hardware and firmware teams optimize current and next-generation products</li>
</ul><ul><li>Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis</li>
<li>Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)</li>
<li>Coordinate with cross-functional teams and overseas stakeholders</li>
</ul>
<p><b>Requirements</b></p>
<p>
We would love to have you on our team if you have:</p>
<ul>
<li>PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field</li>
<li>3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc)</li>
<li>Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc)</li>
<li>Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus</li>
<li>A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively</li>
<li>Flexible schedule and good asynchronous communication skills to work with Oura&rsquo;s Finnish teams (early morning meetings two to three times a week)</li>
<li>This role is based in San Diego, with at least three days in office (at our Carmel Mountain location).</li>
</ul>
<p><b>Benefits</b></p>
<p>
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.</p>
<p>
What we offer:</p>
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li></ul><br>
<p></p>
<p>
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.</p>
<ul>
<li>Region 2: $158,950 - $187,000</li>
</ul>
<p>A recruiter can determine your zones/tiers based on your US location.</p>
<p>
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)</p></div><div><div>
<p>
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.</p>
<p>
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.</p>
<p>
Disclaimer: Beware of fake job offers!<br>
We&rsquo;ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:</p>
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
<p>Stay cautious and protect your personal details.</p>
<p>
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.</p></div></div></div>

Senior Algorithm Scientist

University of California, Santa Barbara

<div>Job #JPF03071
<ul><li>Psychological and Brain Sciences / College of Letters &amp; Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara</li></ul></div>
<br><div><p>POSITION OVERVIEW</p>
<div><b>Salary range:</b> A reasonable estimate for this position at 100% time is $78,500 - $176,500
</div><div><b>Percent time:</b> 100%
</div><div><b>Anticipated start:</b> Spring 2026 or later
</div><div><b>Position duration:</b> This will be a one year position with the possibility of renewal. Continuation beyond one year will be based on performance and availability of funding.
</div><div><p>APPLICATION WINDOW</p><b>
</b></div><div><p><b>Open date: </b>March 19, 2026
</p></div><div><p><b>Next review date:</b> Thursday, Apr 2, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Wednesday, Sep 30, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</p></div><p>POSITION DESCRIPTION</p>
<div><div><p>The Bowers Women&rsquo;s Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.</p>
<p>This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI&rsquo;s data ecosystem is rigorous, secure, and future-facing.</p>
<p>This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women&rsquo;s brain health across the lifespan.</p>
<p>Informatics Leadership &amp; Strategy</p>
<p>Develop and oversee WBHI&rsquo;s data architecture and informatics strategy across multiple grants and study sites.<br>
Establish best practices for data governance, documentation, harmonization, and reproducibility.<br>
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).<br>
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).</p>
<p>Data Management &amp; Quality Control</p>
<p>Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.<br>
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.<br>
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.<br>
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.</p>
<p>Pipeline Development &amp; Advanced Analytics</p>
<p>Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).<br>
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.<br>
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.<br>
Contribute to data harmonization across multi-site studies and large consortia datasets.</p>
<p>Team Building &amp; Mentorship</p>
<p>Supervise data analysts and research staff as the informatics team grows.<br>
Train students, postdocs, and staff in best practices for data management and reproducible research.<br>
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.<br>
Partner with investigators on grant applications, including drafting data management and analysis plans.</p>
<p>Collaboration &amp; Dissemination</p>
<p>Contribute intellectually to manuscripts, conference presentations, and grant proposals.<br>
Engage with national and international neuroimaging and data science communities.<br>
Promote open science principles, including code sharing, documentation, and reproducible workflows.</p>
</div></div>
<p>QUALIFICATIONS</p>
<div><b>Basic qualifications</b> (required at time of application)
<div><ul><li>PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.</li></ul>
</div>
</div><div><b>Additional qualifications</b> (required at time of start)
<div><ul><li>5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).</li></ul>
<p>One or more years of Demonstrated expertise in:<br>
Python and/or R<br>
Unix/Linux environments<br>
Workflow automation and pipeline development<br>
Version control (Git)</p>
</div>
</div><div><b>Preferred qualifications</b>
<div><ul><li>Excellent communication skills.</li><li>Proven ability to manage complex datasets across multiple projects.</li><li>Experience leading or contributing to large-scale neuroimaging initiatives or consortia.</li><li>Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).</li><li>Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.</li><li>Background in longitudinal modeling or machine learning applications in neuroimaging.</li><li>Experience supervising technical staff or trainees.</li><li>Experience implementing BIDS standards and MRI quality control workflows.</li><li>Strong understanding of reproducible research principles and computational best practices.</li></ul>
</div>
</div><p>APPLICATION REQUIREMENTS</p>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter</p>
</div></li><li><div><p>
Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications
</p></div></li></ul></div><div><div><b>Reference requirements</b></div><ul><li>
3 required (contact information only)</li></ul><div><p>
References for finalist(s) may be contacted by phone/email after interviews.</p>
</div></div>
<b>Apply link:</b> https://recruit.ap.ucsb.edu/JPF03071
</div>
<div><p><b>Help contact:</b> pamelawilks@ucsb.edu</p>
</div>
<p>ABOUT UC SANTA BARBARA</p>
<div>
<div><p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy</li>
<li>UC Anti-Discrimination Policy for Employees, students and third parties</li>
<li>APM - 035: Affirmative Action and Nondiscrimination in Employment</li>
</ul>
<p>Additionally, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.</p>
<p>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.</p>
</div>
</div><p>JOB LOCATION</p>
<div>Remote or Santa Barbara, CA</div></div>

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological & Brain Sciences Department

Machinify

<div><div><p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</p></div><div><p>
At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis &mdash; a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models.
<br>
<br>
<b>What We're Looking For:</b> An applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions.
<br>
<br>
<b>Key Responsibilities:</b> Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies. Make data-driven decisions on algorithms and techniques tailored to specific business challenges. Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings. Continuously evaluate and optimize models for scalability and performance in production environments. * Learn the intricacies of the healthcare domain and evolve into an industry expert over time.
<br>
<br>
<b>About You: </b>Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields. Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.</p><br>
<p><b>
What We Offer</b></p>
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Top Medical/Dental/Vision offerings</li>
<li>FSA/HSA</li>
<li>Tuition reimbursement</li>
<li>Competitive salary, 401(k) with company match</li>
<li>Unlimited PTO</li>
<li>Additional health and wellness benefits and perks</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
</ul>
<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.</p></div><div><div><b>
Equal Employment Opportunity at Machinify</b></div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

Staff NLP Scientist

CRISPR Therapeutics

<div><p><b>Job Description:</b></p><p></p><p><b>
Company Overview</b></p><p>
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.</p><p></p><p><b>
Position </b><b>Summary</b></p><p>
We are seeking a highly motivated and talented Computational Biology &amp; AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will leverage computational genomics and machine learning to advance next-generation in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Lead computational genomics and ML/AI activities in a cross-functional drug development setting</li><li>
Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods</li><li>
Perform computational analyses to thoroughly characterize off-target gene editing to ensure the safety of CRISPR-based drug products</li><li>
Apply and develop ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists</li><li>
Develop and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis</li><li>
Author scientifically rigorous research reports to support IND submissions and other regulatory filings</li><li>
Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs
</li><li>Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems
</li></ul><p></p><p><b>Minimum Qualifications</b></p><ul><li>
Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a related field</li><li>
At least 2 years of industry or postdoctoral experience characterizing on-/off-target editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design</li><li>
Demonstrated record of developing computational pipelines to analyze high-throughput DNA sequencing data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV)</li><li>
Proven ability to develop and apply machine learning and/or AI methods to solve challenging problems in the biological domain</li><li>
Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus</li><li>
Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities</li><li>
Excellent writing, reviewing, and presentation skills</li><li>
A high degree of scientific rigor, accuracy, and attention to detail</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience applying ML/AI tools for protein structure prediction (e.g., AlphaFold), de novo protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo)</li><li>
Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)</li><li>
Familiarity with sequencing platforms (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods</li><li>
Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures)</li><li>
Proficiency in managing and analyzing large-scale genomic data in a Linux and/or cloud environment (e.g., AWS)</li></ul><p><b><br>
Competencies</b></p><ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Orientation &ndash; Delivering progress toward our mission. A sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul><p></p><p>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.</p><p></p><p>
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits</p><p>
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.</p><p></p><p>
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
</p><p></p><p>To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</p></div>

Scientist II, Computational Biology & AI

University of Florida

<p></p><div><div><p><b>JOB NO:</b></p>
<div>539138</div><br>
<p><b>WORK TYPE:</b></p>
<div>Staff Full-Time</div><br>
<p><b>LOCATION:</b></p>
<div>Main Campus (Gainesville, FL)</div><br>
<p><b>CATEGORIES:</b></p>
<div>Health Care Administration/Support</div><br>
<p><b>DEPARTMENT:</b></p><div>
29013100 - MD-QUALITY &amp; PATIENT SAFETY</div></div><br>
<div>
<div><div><div><div><b>CLASSIFICATION TITLE:</b></div>
<div>
<p>Data Scientist IV</p></div><br>
</div><br>
<div><div><b>JOB DESCRIPTION:</b></div>
<div>
<p>The Data Scientist IV serves as a senior decision scientist within the UF College of Medicine&rsquo;s Quality and Patient Safety initiative (QPSi), providing expert-level leadership in the design and execution of advanced analytic strategies that inform the safe and effective deployment of AI-enabled interventions in clinical workflows.</p>
<p>
The incumbent brings deep proficiency in statistical theory, causal inference, and probabilistic modeling, and works with interdisciplinary clinical, operational, and informatics teams to develop rigorous statistical analysis plans and decision-analytic frameworks for complex clinical questions relevant to quality improvement and patient safety.</p>
<p>
This role serves as a critical bridge between AI technology investments and measurable clinical impact, ensuring that predictive models and AI-enabled tools are deployed safely, monitored rigorously, and evaluated for their effect on patient outcomes &mdash; directly advancing QPSi&rsquo;s mission to eliminate preventable harm by integrating innovative AI tools with expert care.</p>
<p><b>
About This Role:</b></p>
<ul>
<li>Leads the development of decision-science and statistical strategies that inform the safe and effective deployment of AI-enabled interventions in clinical workflows. Provides advanced consultation to interdisciplinary clinical, operational, and informatics teams to define decision questions, endpoints, and evaluation approaches. Develops and reviews statistical analysis plans for intervention evaluation, including the application of causal inference methods to estimate impact on clinician behavior, care processes, and patient outcomes under real-world conditions. Produces and validates analytic outputs (tables, figures, and decision summaries) that communicate results and uncertainty to stakeholders and leadership. Analytic outputs directly inform health system leadership decisions on AI deployment scope, expansion, and discontinuation.</li>
<li>Designs and executes simulation-based evaluations to anticipate workflow effects and operational consequences of AI interventions prior to and after implementation. Applies Bayesian statistical modeling and probabilistic reasoning to quantify uncertainty and evaluate candidate intervention strategies in light of clinical and operational tradeoffs (e.g., benefit, burden, timeliness, and resource constraints). Where appropriate, evaluates sequential decision strategies - including reinforcement-learning-informed policy comparisons - in a controlled and reviewable manner to support decisions such as alert thresholds, routing, timing, and escalation pathways. Summarizes scenario-testing results into clear recommendations for implementation teams and governance stakeholders.</li>
<li>Creates and validates analysis datasets and/or reviews those developed by others to ensure data quality, appropriate methods, and accurate calculation of variables from heterogeneous clinical data sources. Develops well-documented, reproducible code and technical documentation to support meetings, presentations, and manuscripts. Contributes to AI governance activities by supporting pre-deployment analytic review, defining monitoring metrics, and performing postimplementation impact evaluation, including periodic performance assessment and interpretability/quality checks as required by program needs.</li>
</ul>
<p><b>About COM's Quality and Patient Safety Initiative (QPSi):</b></p>
<p>
The UF College of Medicine's Quality and Patient Safety Initiative (QPSi) is dedicated to enhancing patient care quality and safety through innovative research, education, and collaboration. This initiative focuses on implementing evidence-based practices, advancing patient safety initiatives, and fostering a culture of continuous improvement within the College of Medicine.</p>
<p>
QPSi's mission is to drive excellence in healthcare delivery by integrating clinical expertise, data-driven insights, and cutting-edge technology. The initiative engages healthcare professionals, students, and stakeholders in efforts to elevate patient care standards and outcomes.</p>
<p>
For more information about the Quality and Patient Safety Initiative, visit UF College of Medicine's QPSi.</p>
<p><b>
We Offer Exceptional Benefits:</b></p>
<ul>
<li><b>Low-cost State Health Plans</b>: Medical, Dental, and Vision Insurance</li>
<li><b>Life and Disability Insurance</b></li>
<li><b>Generous Retirement Options</b> to secure your future</li>
<li><b>Comprehensive Paid Time Off Packages</b>: (includes over 10 paid holidays, as well as paid family, sick and vacation leave)</li>
<li><b>Exceptional Personal and Professional Development Opportunities</b>: Access to UF Training &amp; Organizational Development programs, leadership development, LinkedIn Learning, and more</li>
<li><b>Tuition Assistance </b>through the UF Employee Education Program</li>
<li><b>Public Service Loan Forgiveness</b> (PSLF) Eligible Employer</li></ul><br>
<div>
</div></div></div><br>
<div><div><b>EXPECTED SALARY:</b></div>
<div>
<p>$115,000 - 125,000 annually</p></div><br>
</div><br>
<div><div><b>REQUIRED QUALIFICATIONS:</b></div>
<div>
<p>A Bachelor&rsquo;s Degree in data science, statistics, bioinformatics, analytics, or similar field and seven years of experience; Master&rsquo;s Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience.</p></div><br>
</div><br>
<div><div><b>PREFERRED:</b></div>
<div>
<p>The ideal candidate will possess:</p>
<ul>
<li>Demonstrated proficiency in R and/or Python for statistical analysis, simulation, and reproducible research.</li>
<li>Deep proficiency in Bayesian statistical modeling frameworks (e.g., Stan, PyMC, JAGS), including understanding of sampler diagnostics, convergence properties, and prior specification.</li>
<li>Strong foundation in causal inference methods (e.g., difference-in-differences, interrupted time series, propensity-based approaches), including the ability to formally state identifying assumptions and assess their plausibility in applied settings.</li>
<li>Demonstrated experience designing and validating simulation models (e.g., Monte Carlo, agent-based, discrete-event) to evaluate interventions or operational scenarios under uncertainty.</li>
<li>Experience working with electronic health record data or large-scale clinical datasets.</li>
<li>Working knowledge of clinical quality improvement, patient safety, or health system operations.</li>
<li>Solid understanding of AI/ML model evaluation, including calibration assessment, performance monitoring, and validation methodology in applied clinical settings.</li>
<li>Experience with AI governance concepts, including pre-deployment review and post-implementation evaluation.</li>
<li>Ability to translate complex analytic findings into clear recommendations for clinical and operational stakeholders who may not have a quantitative background..</li>
</ul>
</div></div><br>
<div><div><b>SPECIAL INSTRUCTIONS TO APPLICANTS:</b></div>
<div>
<p>In order to be considered, you must upload your cover letter, resume, and contact information for three professional references.</p>
<p>
Application must be submitted by 11:55 p.m. (ET) of the posting end date.</p></div><br>
</div><br>
<div><div><b>HEALTH ASSESSMENT REQUIRED:</b></div> <div>No</div></div></div><br>
</div>
</div><p></p><div><p><b>ADVERTISED:</b></p>
<div>16 Mar 2026</div> Eastern Daylight Time<br>
<p><b>APPLICATIONS CLOSE:</b></p>
<div><div>30 Mar 2026</div></div>
Eastern Daylight Time</div></div><p></p>

Data Scientist IV - Quality and Patient Safety initiatives

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