computational scientist

CRISPR Therapeutics

<div>Job Description:
Company Overview
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.
Position Summary
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.
Responsibilities<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>Minimum Qualifications<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> 
Preferred Qualifications<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> 
Competencies<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>
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.
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits
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.
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.
To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</div>

Scientist II, Computational Biology & AI

Enko Chem, Inc.

At Enko we believe that to create the future the world wants, we need to change the way the world grows. Our goal is not just to create something better, but to play a part in something bigger. Enko discovers and develops novel products for farmers to protect their crops from pests and disease.Scientist, Cheminformatics &amp; Machine LearningWe are seeking a strong scientist who can apply their expertise in cheminformatics to the discovery and development of our small molecule products. The ideal candidate is passionate about collaboration within and across scientific disciplines while building rigorous, reproducible scientific workflows using Python, AWS, and other core cheminformatics and data science tools.What You'll Do<ul><li>Support discovery, hit to lead, and lead optimization efforts across multiple projects through expert cheminformatics analysis.</li><li>Analyze DNA encoded library screening data and prepare these data for project teams to make compound selection decisions.</li><li>Build and validate machine learning models and collaborate with project teams to apply these models.</li><li>Build and validate tools for generating new molecules based on known inputs (e.g.enumeration, generative AI, etc.)</li><li>Build and scale automated pipelines for data preparation, cleaning, training, inference, etc.</li><li>Develop tools, dashboards, and presentations that enable scientists to capitalize on insights derived from data.</li></ul>About You<ul><li>You hold a Masters/Ph.D. in a relevant scientific discipline (e.g. Chemistry, Biology, Computational Science, Statistics) with experience in application of chem informatics and machine learning for small molecule discovery.</li><li>You have previous experience in an industry setting and experience with DNA encoded library data are desired.</li><li>You're an excellent communicator, both written and verbal.</li><li>You are excited about joining a fast-paced startup environment that is working towards becoming the future of food!</li></ul>Why Work at Enko?<ul><li>Our products address a $70 billion core market focused on crop health with expansion into adjacent markets worth $300+ billion.</li><li>We have $150 million in capitalization, with $80 million raised as part of a Series C raise.</li><li>Our global investors include Anterra Capital, Nufarm, the Bill &amp; Melinda Gates Foundation, Eight Roads Ventures, Finistere Ventures, Rabo Food &amp; Agri Innovation Fund, Novalis LifeSciences, Syngenta, TaherGozal, Germin8 Ventures, TO Ventures Food, Endeavor8, Connecticut Innovations, Silver Blue LLC, and Alumni Ventures Group.</li><li>Our headquarters and research facility in Mystic, CT has 90,000 square feet of state-of-the-art labs and computer-controlled greenhouses built for pre-field experimentation and scale.</li></ul>Enko is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timeBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul>Compensation Package:<ul><li>Bonus opportunities</li><li>Stock options</li></ul>Ability to Relocate:<ul><li>Mystic, CT 06355: Relocate before starting work (Preferred)</li></ul>Work Location: Hybrid remote in Mystic, CT 06355

Scientist, Cheminformatics & Machine Learning

Bristol Myers Squibb

<div>Working with Us 
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. 
 
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 . 
 
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
 
 
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. 
 
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. 
 
Summary 
 
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. 
 
Key Responsibilities<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>
Basic Qualifications
<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>Preferred Qualifications<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>
Scientific Impact: Strong publication record in machine learning, bioinformatics, or computational biology, with the ability to clearly and effectively communicate scientific research to peers.</li><li>
Soft Skills: 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.
 
 
Compensation Overview: 
 
Cambridge Crossing: $166,770 - $202,086
 
 
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.
 
 
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/.
 
 
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>Health Coverage: Medical, pharmacy, dental, and vision care.</li><li>
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
</li><li>Financial Well-being and Protection: 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>Work-life benefits include:
 
 
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.
 
 
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. 
 
<ul><li>Eligibility Disclosure: 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> 
Uniquely Interesting Work, Life-changing Careers 
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. 
 
On-site Protocol 
 
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:
 
 
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.
 
 
Supporting People with Disabilities 
 
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.
 
 
Candidate Rights 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
 
 
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/
 
 
Data Protection 
 
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 . 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 
 
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.
 
 
R1600329 : Principal Scientist, Oncology Informatics, AI agents</div>

Principal Scientist, Oncology Informatics, AI agents

University of Pittsburgh

<div><div>Post Doctoral Associate - Hessam Babaee Laboratory</div><div>
Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (26001470)</div><div></div><div><div> 
The Hessam Babaee Lab develops machine-learning algorithms for science and engineering applications. Our efforts focus on reduced-order modeling and probabilistic machine learning methods, which we deploy across domains such as materials science, aerodynamics, and bioengineering.</div><div></div> 
Required Educational Background: Applicant must have a Ph.D. in mechanical engineering, computational science, applied mathematics, or a closely-related field.
Required Skillset: For the research component of the position, the required skillset includes: Strong background in computational solid mechanics, scientific machine learning, and computational science and technical publications. In addition to conducting research, your duties may also include preparing reports, performing literature reviews, supervising graduate and undergraduate students, and assisting with other projects in the laboratory.
 Other required skill sets include a strong interest in basic and applied research. Good verbal and written communication skills; Ability to work both independently and within a team structure delivering project components on given time schedules; Ability to multi-task.
Responsibilities: The research-related responsibilities of this position will include: Computational/ML code method development; Code implementation; Mentoring graduate students; Writing journal publications, preparing reports that summarize the work conducted for progress reports to funding agencies; Planning, developing, and implementing technical and scientific research programs; Contributing to proposal writing and acquisition of preliminary data.<div></div> 
The University of Pittsburgh is an equal opportunity employer / disability / veteran.<div> 
</div></div><div><div>
Assignment Category</div><div>:</div> Full-time regular</div><div><div>
Campus</div><div>:</div> Pittsburgh</div><div><div>
Child Protection Clearances</div><div>:</div> Not Applicable</div><div><div>
Required Attachments</div><div>:</div> Curriculum Vitae</div></div>

Post Doctoral Associate - Hessam Babaee Laboratory

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
The Data and Digital Catalyst - Solutions group within the CS CoE leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.
The Opportunity:
We are seeking an experienced Software Engineer with a background in drug discovery, ideally in protein sciences or a related area. In this role you will design and develop scientific software platforms that enable the capture, analysis, storage, and reporting of research data related to therapeutic molecules. You will work closely with Data Engineers, Product Leaders, and Tech/ML Ops as well as directly with our key partners including Computational Scientists, ML Scientists, and Research Scientists. You'll build robust and scalable systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients.<div></div>
In This Role:<ul><li>
Work directly with cross-functional teams across the drug discovery research organization to deliver intuitive, sustainable software solutions addressing urgent scientific challenges.</li><li>
Design and implement robust, scalable, and maintainable software platforms for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.</li><li>
Understand, maintain, and evolve existing critical applications into extensible platforms.</li><li>
Own and drive software initiatives through design, implementation, testing, and deployment.</li></ul><div></div>
Who You Are:<ul><li>
Background in drug discovery, protein science, or related scientific field.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or Ph.D. in Protein Science or a closely related field, plus 6+ years of professional experience in full-stack software development.</li><li>
Strong proficiency in Python or Java, plus experience with a frontend or backend web framework.</li><li>
Experience with databases, data transformations, and data access.</li><li>
Experience working on cloud-native architectures in public clouds (ideally AWS).</li><li>
Proven understanding and application of engineering best practices and ability to quickly adapt to new technologies.</li><li>
An AI-first approach to development, user experience, and data access.</li><li>
Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.</li><li>
Curiosity and a passion for continuous learning.</li></ul>
Even if you don't feel that you meet every single requirement, we still encourage you to apply. We&rsquo;re eager to hear how your unique background and passion for our mission make you a great fit for our team.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week. 
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $142,500 - $264,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Mar 18th 2026
</div><div>Job ID
202603-107061</div></ul></div></div></div></div>

Senior Software Engineer - Drug Discovery

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
 </li>
 <li>
 You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
 </li>
 <li>
 Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
 </li>
 <li>
 Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
 </li>
 <li>
 Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
 </li>
 <li>
 Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
 </li>
 <li>
 Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
 </li>
 <li>
 Familiarity with software engineering best practices (version control, documentation, etc)
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 3 year PhD student and above
 </li>
 <li>
 Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
 </li>
 <li>
 Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
 </li>
 <li>
 Hands-on experience working at the intersection of AI and Biology
 </li>
 <li>
 Experience in large-scale distributed training and inference
 </li>
 <li>
 Open-source contributions, especially if used by others
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Research Scientist Intern

<div>
 We are looking for a
 
 Research Scientist
 
 to join our exceptional team at
 
 Schlumberger Doll Research (SDR)
 
 in Cambridge, Massachusetts&mdash;a place where pioneering science drives real‑world innovation.
 
 
 Schlumberger-Doll Research (SDR) conducts both fundamental and applied research to drive the development of innovative technologies for the Energy industry. Our teams are building the next generation of multi‑physics software and hardware systems designed to probe deeper and more accurately understand subsurface resources. This work leverages advanced data‑generating models, state‑of‑the‑art AI/ML algorithms, extensive domain expertise, and robust cloud computing infrastructure available within SDR and across SLB globally.
 
 
 As a Research Scientist, you will collaborate closely with scientists and subject‑matter experts to design and implement new computational and algorithmic models for next‑generation probing technologies. This includes working with advanced modeling tools and developing physics‑informed, data‑driven interpretation frameworks.
 
 
 Ideal candidates will bring a strong foundation in computational electromagnetics along with experience in areas such as machine learning, deep learning, signal processing, or statistical modeling and inference. A passion for tackling data‑intensive challenges in complex domain‑specific environments is essential. You&rsquo;ll draw insights from large databases and collaborate with experts spanning multiple specialties.
 
 
 We are looking for individuals who are driven, technically talented, and enthusiastic about scientific and technological innovation. Strong communication skills&mdash;both written and verbal&mdash;are important for thriving in SDR&rsquo;s multidisciplinary environment.
 
 
 <ul>
 <li>
 PhD in electrical engineering, computational physics, electromagnetics, or a related field with relevant domain specialization.
 </li>
 <li>
 Experience in computational modeling and familiarity with finite element analysis software (e.g., COMSOL, NGSolve, Ansys).
 </li>
 <li>
 Preferred (optional) skills: knowledge of inversion or optimization algorithms, AI/ML frameworks, and software development.
 
 
 
 </li>
 </ul>
 
 The compensation and benefits for this role are listed in compliance with applicable law. We are committed to offering fair and competitive pay aligned with each candidate&rsquo;s skills, experience, and qualifications, within the designated salary range for the role. Please note that the listed compensation and benefits apply only to successful candidates hired onto a local United States payroll.
 
 
 The anticipated annual salary range for this position is $105,280 - $213,800. SLB offers a comprehensive total rewards package, which includes variable pay, health care coverage, a retirement plan, protection programs, paid time off, and various training opportunities.
 
</div>

Research Scientist

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