computational scientist

Broad Institute

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43205
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>88,000 - 124,000 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic candidate to work with our research group to detect, annotate, and characterize genetic variants in large cohorts of patients with autism and other neuropsychiatric conditions. The Talkowski Lab is a large, diverse, and interdisciplinary group of scientists dedicated to the characterization of genomic variation contributing to human disease. The group is leading and contributing to multiple international consortia that collect, process, aggregate, and analyze genomic sequencing data on a large scale.<br>
<br>
The advertised position is part of the autism and neuropsychiatric subteam, which is part of the larger variant association team. The candidate will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. The candidate is expected to effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.<br>
<br>
We are seeking a candidate to perform high-quality, genome-scale computational analyses under the supervision of the group leader in a timely manner. Successful candidates are expected to be quick learners of new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Candidates should therefore have extensive practical programming experience, as well as experience with cloud computation and workflow management systems. The candidate must also have experience with implementing large-scale computational analyses, algorithm development, or statistical analysis. Knowledge of existing analysis tools, methods, and databases in the field of genomics is a significant plus.<br>
<br>
This position is hybrid, with the option of flexible remote working hours.<br>
<br>
<b>Responsibilities:</b></p><br>
<ul><li>
Member of the team analyzing the sequencing data for the Autism Sequencing Consortium. Through this role, you will assist with the development of analysis aiming at (1) calling and annotating variants in short read sequencing data and (2) developing association frameworks to link detected variants to phenotypes.</li><li>
Responsible for processing incoming blended genome exome (BGE) datasets (i.e., a cost-effective method that combines low-pass whole genome sequencing with deep exome sequencing from a single DNA sample) from various neuropsychiatric cohorts and calling copy-number variants in these samples.</li><li>
Responsible for QCing the results and generating reports to share with collaborators.</li><li>
Interact with other subteams, most notably the methods development team, to develop, improve, standardize, optimize, and distribute new and existing methods for genomics analyses to bridge the progress made by different subteams.</li><li>
Provide collaborative bioinformatics analysis in support of other research projects.</li><li>
Track and communicate progress to internal and external stakeholders at meetings and over Slack.</li></ul><br>
<b>
Skills:</b><br>
<ul><li>
Experience with cloud computing and workflow management systems. Experience with Terra, WDL, and Google Cloud is a plus.</li><li>
Proficient in Python, R, and Unix/Linux, and/or other scripting languages.</li><li>
Proven ability to learn new computational tools and packages.</li><li>
Good foundations in statistics.</li><li>
Ability to work independently and in a team setting in an organized fashion.</li><li>
Good interpersonal and oral/written communication skills in English.</li><li>
Strong ability and experience in interpreting computational results and translating these results into biologically relevant conclusions and hypotheses.</li><li>
Experience in genomics and handling large-scale datasets is a plus.</li></ul><br>
<b>
Education:</b><br>
Ph.D. in a computational discipline (e.g., computational biology, bioinformatics, biostatistics, computer science, mathematics, physics, statistics) with 3+ years of related experience preferred but exceptional candidates with less experience are welcome to apply.<div></div><div><br>
Please include a cover letter along with your resume.</div><br>
<div></div>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Computational Scientist I - Genome-scale Computational Analyses

Hays

<div>
 <p>
  <strong>
   Senior Computational Biologist (AI/ML)
  </strong>
 </p>
 <p>
  <strong>
   United Arab Emirates
  </strong>
 </p>
 <p>
  <strong>
   Health Tech
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ** This role is open to candidates to work remotely with regular travel to UAE OR relocate to the UAE permanently **
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently looking for a Senior Computational Biologist / Scientist to join a health tech company based out of Dubai.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical experience needed:
  </strong>
 </p>
 <ul>
  <li>
   Solid Python programming experience
  </li>
  <li>
   Proven AI experience (des, build, deploy)
  </li>
  <li>
   Rosetta / PyRosetta / AlphaFold, Schr&ouml;dinger etc.
  </li>
  <li>
   Antibody modeling
  </li>
  <li>
   Machine Learning &amp; Deep Learning (+ Docker)
  </li>
  <li>
   Protein to protein interaction, structure prediction &amp; engineering
  </li>
  <li>
   Molecular simulation techniques
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   PhD Bioinformatics or other relevant scientific degree
  </li>
  <li>
   Proven background in research and publications
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you feel like you have the above skills and experience please apply and share your CV with us so that we can arrange a confidential conversation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   **Only applicants with the relevant skillset will be contacted**
  </strong>
 </p>
</div>


Senior Computational Biologist (AI/ML)

<div><div><div><div><h3 class="jobSectionHeader"><b>General information
</b></h3></div></div><div><div><div><div>Location
</div><div>Cambridge, MA
</div></div><div><div>Ref #
</div><div>43249
</div></div><div><div>Job Family
</div><div>Research
</div></div><div><div>Workplace
</div><div>Hybrid
</div></div><div><div>Date published
</div><div>11/10/2025
</div></div><div><div>Time Type
</div><div>Full time
</div></div><div><div>Pay Range
</div><div>58,000 - 80,667 Usd Annual
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h3></div></div><div><div><div><div><p>The Talkowski laboratory, based in the Stanley Center for Psychiatric Research at the Broad Institute and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), is seeking exceptional computational associates to join our Broad Structural Variation Group. The successful candidate will join a team of leading researchers in methods development and computational operations for the discovery, annotation, functional prediction, trait association, and population genetic mapping of structural variation in the human genome.</p><p>
Successful candidates are expected to excel in critical thinking, be quick learners of new analytical approaches, and be capable of applying and developing novel computational methods to solve complex problems. The successful candidate will have a deep background and an established track record in mathematics, programming, and data science. They will have exceptional organization and communication skills and be a collaborative member of an interdisciplinary team.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Apply computational methods for structural variant discovery to human genomes.</li><li>
Perform quality control assessments with a deep understanding of the data and the underlying biology.</li><li>
Work closely with biologists to interpret and understand the data and results.</li><li>
Develop new computational methods and improve existing methods for genomics analyses.</li><li>
Track and communicate progress to internal and external stakeholders at meetings and over Slack.</li><li>
Plan and execute on project deliverables, timelines, and budgets.</li><li>
Prepare high-quality publications and oral presentations.</li><li>
Proactively bridge scientific communities.</li></ul><p><b><br>
Requirements:</b></p><ul><li>
Master's + 1 year experience, or Bachelor&rsquo;s + 3 years experience in a computational discipline (e.g., Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics).</li><li>
Proficiency with coding in at least one programming language, such as Python, R, C++, or Java.</li><li>
Experience with designing computational methods and tools.</li><li>
Excellent oral and written English communication skills.</li><li>
Ability to work independently and to contribute to a team science culture.</li><li>
Desire to meet the milestones and deliverables for the production of national and international community resources such as AoU and gnomAD.</li></ul><div><div>
The Talkowski Lab is an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. We are dedicated to the characterization of genomic variation contributing to human disease, focusing on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and to develop new technologies for translational applications in genetic diagnostics. The lab has represented a hub of novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.</div><div><br>
Please include a cover letter along with your resume.</div></div><br>
<div></div>
</div></div><div><div><div>The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.</div><div>
</div><div>
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.</div><div></div><div><br>
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div><div></div><div><br>
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.</div></div></div></div></div></div></div><div></div>

Computational Associate II - Broad Structural Variation Group

University of Central Florida

<div><p><b>The Opportunity</b></p><p>
The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month non-tenure earning, associate scholar/scientist/engineer position which reports to the director of IST. We are searching for a Research Scientist with expertise in software engineering, visualization, immersive technologies, artificial intelligence (AI), and computational science to support the design, development, and integration of next-generation visual simulations and intelligent systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, data analytics, and intelligent decision-support systems.</p><p></p><p>
Key Responsibilities</p><ul>
<li><p>
Design, develop, and implement software architectures, frameworks, and prototypes for high-fidelity visual simulations and AI-enabled environments and applications.</p></li>
<li><p>
Apply computational models, data-driven algorithms, and physics-based simulation methods to enhance realism and interactivity in diverse domain systems and applications.</p></li>
<li><p>
Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.</p></li>
<li><p>
Provide technical guidance on software engineering best practices, simulation technologies, and computational frameworks. Contribute to architecture design, performance optimization, and software verification and validation.</p></li>
<li><p>
Create prototypes and capabilities demonstrators to showcase IST&rsquo;s expertise aligned with trends and opportunities.</p></li>
<li><p>
Manage the common labs and provide guidance on equipment and infrastructure acquisition and upgrades.</p></li>
<li><p>
Contribute to or lead the preparation of grant proposals and technical reports for federal, state, and industry sponsors.</p></li>
<li><p>
Publish research findings in peer-reviewed journals and conferences. Present technical results to sponsors, collaborators, and stakeholders. Design and execute hands-on demonstrations and exhibits at strategic events.</p></li>
</ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li><p>
Ph.D. degree from an accredited institution in Computer Science, M&amp;S, Engineering, or a related discipline in modeling and simulation is required at time of application.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul>
<li><p>
Strong programming skills in one or more of the following: C++, Python, C#, with experience in modern software engineering practices (version control, CI/CD, modular design).</p></li>
<li><p>
Experience with distributed systems, GPU computing, or cloud-based simulation environments.</p></li>
<li><p>
Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments.</p></li>
<li><p>
Experience in government or defense research environments.</p></li>
<li><p>
Record of successful proposal writing and sponsored research funding.</p></li>
<li><p>
Demonstrated experience in software development for simulation systems, high-performance computing, or AI-based applications.</p></li>
<li><p>
Familiarity with simulation frameworks (e.g., Unity, Unreal Engine, Paraview, Fluent, or similar visual simulation engines).</p></li>
<li><p>
Experience with AI/ML tools and frameworks (e.g., PyTorch, TensorFlow, scikit-learn).</p></li>
<li><p>
Ability to work effectively in multidisciplinary research teams and communicate complex concepts clearly.</p></li>
</ul><p></p><p><b>
Additional Application Materials Required:</b></p><p>
UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, https://www.ucf.edu/jobs/. In addition to the online application, interested candidates should upload the following:</p><ul>
<li><p>
A curriculum vitae.</p></li>
<li><p>
A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest.</p></li>
</ul><p></p><p><b>
NOTE</b>: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.</p><p></p><p>
The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.</p><p></p><p>
Questions regarding this search should be directed to: Nayade Ramirez, Search Manager at nayade.ramirez@ucf.edu.</p><p></p><p><b>
Special Instructions to the Applicants:</b></p><p>
Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.</p><p></p><p>
This position is funded with E&amp;G funds.</p><p></p><p><b>
Job Close Date:</b></p><p>
Open until filled.</p><p></p><p><b>
Are you ready to unleash YOUR potential?
</b></p><p>As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you&rsquo;ll play an integral role at one of the most impactful universities in the country. You&rsquo;ll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you&rsquo;ll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you&rsquo;ll have countless rewarding experiences that go well beyond a paycheck.</p><p></p><p><b>
Working at UCF has its perks! UCF offers:</b></p><ul>
<li><p>
Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
</p></li><li><p>Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
</p></li><li><p>Retirement savings options.
</p></li><li><p>Employee discounts, including tickets to many Orlando attractions.
</p></li><li><p>Education assistance.
</p></li><li><p>Flexible work environment.
</p></li><li><p>And more&hellip;For more benefits information, view the UCF Employee Benefits Guide click here.</p></li>
</ul><p></p><p><b>
Unless explicitly stated on the job posting, it is UCF&rsquo;s expectation that an employee of UCF will reside in Florida as of the date the employment begins.</b></p><p></p><p><b>
Additional Requirements related to Research Positions:</b></p><p>
Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.</p><p></p><p>
The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.</p><p></p><p><b>
Department</b></p>
Institute for Simulation and Training (IST)*<p></p><p><b>
Work Schedule</b></p>
Varies<p></p><p><b>
Type of Appointment</b></p>
Regular<p></p><p><b>
Expected Salary</b></p>
Negotiable<p></p><p>
As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.</p><p></p><p>
UCF is proud to be a smoke-free campus and an E-Verify employer.</p><p></p><p>
If an accommodation due to a disability is needed to apply for this position, please call 407-823-1336 or email onac@ucf.edu.</p><p></p><p>
For general application or posting questions, please email talent@ucf.edu.</p></div>

Associate Scholar/Scientist/Engineer, Institute of Simulation and Training

Eli Lilly

<div><p>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.</p><p></p><p><b>
Lilly Small Molecule Discovery</b> is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.</p><p></p><p><b>
Discovery Technology and Platforms</b> is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.</p><p></p><p><b>
Data Foundry</b></p><p></p><p>
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific programming, research informatics and automation solutions. The team also leads the design, implementation and validation of AI agent-compatible automation systems.</p><p></p><p><b>
Position Summary:</b></p><p><br>
The Scientific Systems group within the <b>Data Foundry </b>is seeking a talented scientific programmer to join our dynamic team. This role bridges the gap between laboratory science and computational innovation, building fit-for-purpose data infrastructure and analytical pipelines that drive scientific discovery. This role will collaborate with foundational platforms and partner with Tech@Lilly and the Advanced Intelligence team (AI@Lilly) to ensure project data and software solutions are fully leveraged to facilitate scientific innovation and decision-making across the portfolio.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Design, develop, and maintain data retrieval, cleaning, and processing pipelines for complex scientific datasets</p></li><li><p>
Collaborate with multidisciplinary teams to translate scientific requirements into technical solutions</p></li><li><p>
Implement scalable computational workflows for chemistry and biology research applications</p></li><li><p>
Develop and optimize software tools and automation scripts to enhance research productivity</p></li><li><p>
Ensure data integrity, quality control, and reproducibility across scientific computing systems</p></li><li><p>
Participate in agile development cycles with iterative improvement and rapid prototyping</p></li><li><p>
Document technical processes and provide training support to research teams</p></li></ul><p><b><br>
Required Qualifications</b></p><ul><li><p>
BS/MS in Chemistry, Biology, Biochemistry, Computational Biology, Cheminformatics, Computer Science or related field with <b>5+ years</b> scientific programming experience) with understanding of experimental data types and workflows</p></li><li><p>
Proficiency in multiple programming languages including Python, RESTful API, Java, C#, and SQL and Strong scientific prototyping/scripting</p></li><li><p><b>
Pharmaceutical and/or Biotech Research Industry Experience is required</b></p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Python Back-end or Web development experience is highly desirable</p></li><li><p>
Hands-on experience with popular cheminformatics systems such as RDKit, Schr&ouml;dinger Suite, or MOE (Molecular Operating Environment)</p></li><li><p>
Experience of integration of Benchling functions</p></li><li><p>
Experience with scientific data standards and ontologies</p></li><li><p>
Knowledge of cloud computing platforms (AWS, Azure, GCP)</p></li><li><p>
Familiarity with version control systems (Git) and CI/CD practices</p></li><li><p>
Experience with data visualization and analysis tools</p></li><li><p>
Background in machine learning or statistical modeling for scientific applications</p></li><li><p>
Experience with Linux environments and bash scripting</p></li><li><p>
Familiarity with agile methodologies and collaborative development practices</p></li><li><p>
Strong learning agility with willingness to adopt new technologies, languages, and tools to accomplish objectives</p></li><li><p>
Not afraid to step outside comfort zone and learn what's needed to get the job done</p></li><li><p>
Excellent interpersonal and communication skills, with a track record of effective scientist engagement</p></li></ul><p>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.</p><p></p><p>
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.</p><p><br>
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.</p><p></p><p>
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is</p>
$87,000 - $193,600<p></p><p>
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.</p><p></p><p>
#WeAreLilly</p></div>

Principal Scientist - Data Foundry Scientific Developer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>Greetings from TCS!!!</b></div><div></div><div><br>
TCS presents an excellent opportunity for Data scientist Role</div>
<div><b>
Role: </b><b>Datascientist - Python, Machine Learning</b></div>
<div><b>
Desired Experience Range: 4-10 years</b></div>
<div><b>
Location: Mumbai, Kolkata</b></div><div></div><div><br>
Desired Competencies (Technical/Behavioral Competency)</div><div></div><div><b><br>
Must Have-</b></div>
</div></div></div><div><div><div><b>Location</b></div>
<div>Kolkata</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>368357</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Datascientist - Python, Machine Learning

Genentech

<div><div><div>THE POSITION</div><p>
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.</p><p></p><p>
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.</p><p></p><p>
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization 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.</p><p></p><p>
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing.</p><p></p><p>
As a Software Engineer in the Solutions Engineering capability, you will work closely with colleagues such as Data Engineers, Product Leaders, and Tech/ML Ops as well as directly with our key partners including Computational 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. As part of this role, you&rsquo;ll contribute to building a modern, scalable and robust ecosystem of applications, agents and other tools to capture, move and prepare the scientific data for analysis.</p><p></p><p>
You are passionate about building scalable, reliable, and reusable capabilities for our shared platform. As a software engineer with strong experience in backend and/or frontend development, you design and implement components with scalability and reliability at their core. You bring hands-on expertise in cloud technologies and follow engineering best practices&mdash;including code reviews, unit testing, and adherence to coding standards&mdash;while boosting productivity through AI-powered development tools and environments.</p><p></p><p>
Ideally, you are a full-stack software engineer or data engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. You thrive on leveraging platform components to build common solutions, and you excel at engaging with scientific stakeholders to understand their challenges and translate them into effective technology solutions in close collaboration with Product and Engineering teams.</p><p></p><p><b>
The Opportunity:</b></p><ul><li><p>
Proven track record of leading and delivering complex, user-friendly projects and tools in a fast-paced environment</p></li><li><p>
Strategic/Tactical Technical leadership for the ongoing initiatives and by identifying new opportunities with an eye for consolidation, deprecation and building common solutions</p></li><li><p>
Responsible for technical excellence and ensuring our solutions and capabilities are innovative, best-in-class and integrated by delivering data flows and pipelines within and across DDC and key domains like Research Biology, Drug Discovery, Translational Medicine and Development and more</p></li><li><p>
Learn, deeply understand and improve our Data Workflows, Application Architecture and Data Ecosystem by leveraging standard patterns like layered architecture, microservices, event-driven, multi-tenancy, etc.</p></li><li><p>
Responsible for ensuring our technical choices are innovative, best-in-class and are inter-operable and consistent across DDC and domains like Research Biology, Drug Discovery, Translational Medicine and Development and more</p></li><li><p>
Understand and influence technical decisions around data workflows and application development while working collaboratively with our key partners</p></li><li><p>
Integrate diverse sets of data together to power AI/ML and Natural Language Search, as well as enable our downstream teams working on Workflows, Visualization and Analytics</p></li><li><p>
Facilitate the implementation of AI models that take advantage of advances in machine learning and artificial intelligence</p></li></ul><p></p><p><b>
Who You Are:</b></p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or equivalent experience and 7+ years of experience in software engineering</p></li><li><p>
Deep experience and technical understanding of modern web application development, platforms and data engineering approaches, including data flow within the cloud and cutting-edge data storage solutions</p></li><li><p>
Deep experience in full stack development is required. You have strong skills building Front Ends using JavaScript, React or similar Libraries as well as Backends using high level languages like Python or Java</p></li><li><p>
Extensive experience working with Databases, Data Analytics (SQL/NoSQL, ETL, ELT) and APIs (REST, GraphQL) is preferred</p></li><li><p>
Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred</p></li><li><p>
Experience with building Designs for Data Applications which are highly reliable, scalable, performant, secure and robust and ideally on a public cloud platform</p></li><li><p>
Adopts and champions an Open Source, Cloud First, API First and AI First approach to problem-solving by identifying key trends, leveraging cutting-edge technologies and influencing their adoption to deliver innovative solutions</p></li><li><p>
Ability to think strategically and optimize for the long term while acting with a sense of urgency</p></li><li><p>
Provide technical mentorship and leadership to junior developers, fostering professional growth and taking accountability for upholding high coding standards</p></li><li><p>
Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams, ensuring effective collaboration and understanding</p></li><li><p>
Experience reducing Tech Debt and consolidating and deprecating legacy solutions</p></li><li><p>
Experience in integrating AI into applications and development practices is a plus</p></li></ul><p></p><p>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.</p><p></p><p>
Relocation benefits are available for this job posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California is $162,600 - $302,000. 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.
</p><p></p><p>Benefits</p><p></p><p>
#LI-JD1</p><p>
#ComputationCoE</p><p></p><p>
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.</p><p></p><p>
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.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Nov 10th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202511-129115</p></div></ul></div></div></div></div><p></p>

Principal Software Engineer, Solutions

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