computational scientist

University of Alabama, Birmingham

<div></div><div><div><div><div><div><b>Description</b><div></div><p><b>
COMPUTATIONAL SCIENTIST</b></p><p>
University of Alabama at Birmingham</p><p>
</p><p>Collaborates in problem assessment, analysis, and development of computational methods or procedures, independently evaluates, selects, and applies appropriate methods to the specific research problems. Proposes solutions in engineering, the sciences, and other fields using mathematical theories and techniques. Optimizes and extends algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to complex research problems; performs computerized data processing operations and statistical analyses of research data; creates visualizations of results. Performs code review, analysis review, and writes summary reports to collaborators. Prepares figures for publication and helps to write manuscripts. Presents results internally and to collaborators and other groups.</p><p>
</p><p><b>Key Roles &amp; Responsibilities</b></p><ul><li> Oversees the design, development, implementation, and analysis of technical products and systems.</li><li> Performs multiple engineering-related tasks in various assignments within the organization.</li><li> Optimizes and extends algorithms, analysis pipelines, and software/firmware in order to establish and ensure effectiveness and reliability of integrated system.</li><li> Guide and train less experienced developers.</li><li> Support meetings, teleconferences, and travel as required by projects.</li><li> Perform other duties as assigned</li></ul><p>
</p><p><b>Salary Range: </b>This position is assigned to Wage Grade W.G400 with a full Compensation-approved range of $85,600.00 &ndash; $139,100.00 annually (midpoint $111,280).</p><p>
Final offers will be made within this grade range based on the candidate&rsquo;s qualifications, internal equity, and the department&rsquo;s budgeted amount for the role. Applicants whose stated salary expectations fall outside the posted grade range may not be considered.</p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b>
Qualifications</b></p><p>
Doctorate degree in a related field OR Master's degree in a related field and two (2) years of related</p><p>
experience OR Bachelor&rsquo;s degree in related field and four (4) years of related experience required. Work experience may NOT substitute for education requirement.</p><p></p><p><b>
Knowledge, Skills, Abilities &amp; Work Characteristics</b></p><ul><li> Advanced knowledge of analytics and development toolsets</li><li> Ability to evaluate and make decisions based on measurable or verifiable criteria Strong critical-thinking and interpretive skills to analyze situations, define problems, and develop solutions</li><li> Ability to analyze, interpret and display statistical data</li><li> Knowledge of software development processes and usage of IDEs for development and testing</li><li> Collaborative Software/Firmware</li><li> Development experience in small teams</li><li> Embedded Firmware</li><li> Development experience using advanced microcontrollers and IDEs</li><li> Software/Firmware Development experience for aerospace applications</li><li> Experience with Test-Driven Development (TDD) methodology</li><li> Experience developing software with programming languages C, C++, C#, Python, and/or Rust Experience using Visual Studio and/or VS Code</li></ul><ul><li>
Experience developing/deploying RTOS frameworks</li></ul><div>
</div></div><div><b>
Primary Location</b><b>:</b> University</div><div><b>
Job Category</b><b>:</b> Professional &amp; Managerial</div><div><b>
Organization</b><b>:</b> 440002000 Engineering &amp; Innovative Tech Develop</div><div><b>
Employee Status</b><b>:</b> Regular</div><div><b>
Shift</b><b>:</b> Day/1st Shift</div><div><b>
Work Arrangement (final schedule to be determined by the department/hiring manager)</b><b>:</b> Onsite</div><div><b>
Equal Opportunity Statement</b><b>:</b> UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran&rsquo;s status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB&rsquo;s Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.</div></div></div></div></div><div></div>

COMPUTATIONAL SCIENTIST

Genentech

<div><div><div>THE POSITION</div><div><b>
THE OPPORTUNITY</b></div><p>
The Research Pathology Department, an integral part of Genentech&rsquo;s Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. By collaborating with therapeutic areas and research scientists, the department supports the discovery, characterization, and development of treatments for a wide range of diseases.</p><p></p><p>
DPIA-SO (Digital Pathology Image Analysis- Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis. The team&rsquo;s mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and employing transparent, reproducible, and scalable spatial analysis methods and pipelines. We are seeking a highly skilled and motivated Spatial Omics Computational Scientist to join our team.</p><p></p><p>
Key Responsibilities</p><ul><li><p>
Lead end-to-end analyses of single-cell spatial transcriptomics and proteomics datasets.</p></li><li><p>
Develop and apply advanced machine learning for spatial omics data analysis.</p></li><li><p>
Implement multi-modal data integration workflows for comprehensive biological insights.</p></li><li><p>
Analyze diverse spatial omics datasets from cutting-edge platforms (e.g., 10X Genomics Xenium/Visium HD, Lunaphore COMET).</p></li><li><p>
Collaborate with pathologists and researchers to interpret data and design experiments.</p></li><li><p>
Contribute to the advancement of spatial omics capabilities within Research Pathology.</p></li></ul><div></div><div><b>
WHO YOU ARE</b></div><ul><li><p>
Advanced degree (M.S. with 5+ years relevant experience or Ph.D.) in Computational Biology, Bioinformatics, Biomedical Engineering, Data Science, Imaging Science or a related field.</p></li><li><p>
Demonstrated tissue-based image processing experience.</p></li><li><p>
Proficiency in Python programming.</p></li><li><p>
Experience with machine learning techniques and tools (e.g., TensorFlow, PyTorch and scikit-learn).</p></li><li><p>
Experience in statistical analysis, structured data analysis (e.g. high dimensional data reduction, validation and statistics) and data visualization.</p></li><li><p>
Excellent problem-solving, communication, and collaborative skills as well as communication skills to present findings and prepare reports.</p></li></ul><div></div><div><b>
PREFERREDS</b></div><ul><li><p>
Expertise in single-cell spatial transcriptomics and/or spatial proteomics analysis.</p></li><li><p>
Hands-on experience with spatial omics platforms (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).</p></li><li><p>
Experience with multi-modal data integration combining various omics datasets.</p></li><li><p>
Basic knowledge of tissue histology and cell biology.</p></li><li><p>
Knowledge of computational and/or digital pathology workflows.</p></li><li><p>
Familiarity with tools like the scverse ecosystem (Scanpy, Squidpy, SpatialData) and image processing libraries (OpenCV, scikit-image).</p></li><li><p>
Understanding of infrastructure for managing large-scale imaging and single-cell data, including AWS cloud-based storage and distributed computing.</p></li><li><p>
Familiarity with tissue imaging techniques such as multiplexed immunofluorescence, in situ hybridization, or related methods.</p></li><li><p>
Background in experimental design for spatial omics or multi-modal studies.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $109,500 - $203,300. 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>
Benefits</p><p>
#LI-KC2</p><p>
#tech4lifeComputationalScience</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>Oct 24th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202510-126866</p></div></ul></div></div></div></div><p></p>

Computational Scientist, Spatial Omics

Argonne National Laboratory

<div><div><i>Argonne National Laboratory is a Department of Energy national laboratory with over 1,500 scientists and engineers performing world-class research aimed at solving the nation's energy, environmental and security challenges. Argonne is located 25 miles southwest of Chicago on a beautiful 1,500-acre campus.</i></div><div></div><div><br>
The Decision and Infrastructure Sciences (DIS) division researches, designs, and delivers scientific tools and methodologies to inform decision-making regarding the most challenging security, risk, and resilience problems. As a multidisciplinary national laboratory, Argonne offers an exciting atmosphere in which to collaborate on interdisciplinary projects that focus on complex technical problems and integrated application of natural, social, and computer science practices.</div><div></div><div>
To assist our research mission, DIS is seeking a Computational Scientist to strengthen current and future applications of artificial intelligence (AI), machine learning (ML), agent-based modeling, and related modeling and simulation capabilities across the Division&rsquo;s research portfolio, including topics related to infrastructure security and resilience, energy security, economic security, and emergency management. Successful candidates should be familiar with performing advanced data analysis across different technical domains; developing predictive models, simulations, and optimization algorithms; and collaborating with multi-disciplinary teams to identify and address key operational challenges.</div><div></div><div>
This role includes statistical analysis using a variety of modeling techniques, developing prototype solutions using scientific programming languages, designing experiments for validation and testing efficacy of models, and measuring impact. The role involves identifying concepts and developing procedures for investigating problems of a significant nature, which may be broadly stated or ill-defined.</div><div></div><div><br>
In this position, you will:</div><ul><li><div>
Contribute to projects associated with AI/ML, high-performance computing (HPC), and computational problems related to the Division&rsquo;s core missions and sponsors.</div></li><li><div>
Develop novel methodologies and contribute to emerging technical approaches that apply AI/ML and agent-based modeling to sponsored research that informs decision-making across a broad range of industry and community stakeholders.</div></li><li><div>
Work with an interdisciplinary team of domain scientists (e.g., decision science, computational scientists, engineers, infrastructure analysts, etc.) to develop decision-ready toolsets based upon AI/ML approaches.</div></li><li><div>
Contribute to projects associated with Large Language Model (LLM) toolset development for decision science applications among industry and community stakeholders.</div></li><li><div>
Support engagements with DOE and other federal entities, State, Local, Tribal, and Territorial governments, and industry sponsors to inform the development of AI/ML tools that best align with stakeholder decision needs.</div></li><li><div>
Interface with subject matter experts in key fields from across Argonne to produce decision-relevant AI/ML resources across a range of scientific domains in the DIS sponsored research portfolio.</div></li><li><div>
Work with DIS and other Argonne subject matter experts to support government sponsors interested in a wide range of both domestic and international AI/ML-informed decision-support.</div></li></ul><div></div><div>
Open to the following work locations:</div><ul><li><div>
Hybrid work schedules for individuals in the Chicago, IL region, or</div></li><li><div>
Remote with travel expectations between 10-15% dependent on sponsor needs.</div></li></ul><div></div><div>
Position Requirements</div><ul><li><div>
Minimum Education/Experience Requirement: Bachelor's and 0+ years, Master's and 0+ years or equivalent</div></li><li><div>
Experience performing AI/ML-related activities, including data identification, cleansing and preparation, algorithm development, statistical learning, and validation of results.</div></li><li><div>
Experience working with generative AI, natural language processing, network modeling, and AI assistant models is preferred.</div></li><li><div>
Knowledge and experience with coding languages including Python, MatLab, SQL, Java, and Julia.</div></li><li><div>
Knowledge and experience with machine learning libraries including TensorFlow, PyTorch, Scikit-learn, Pandas, and Numpy.</div></li><li><div>
Knowledge and experience with modeling and simulation, including agent-based modeling, Monte Carlo, and life cycle assessment.</div></li><li><div>
Ability to use independent judgment and abstract from specific problems to general solutions/findings.</div></li><li><div>
Strong oral and written communications skills, including the ability to translate technical information into plain language, and strong ability to work effectively in a team-based project environment.</div></li><li><div>
Skill and experience working on multiple projects simultaneously, including sound project management practices and the ability to manage deadlines effectively.</div></li><li><div>
Skill and experience collaborating with team members and leading independent analysis in support of projects.</div></li><li><div>
A successful candidate must have the ability to model Argonne&rsquo;s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.</div></li></ul><div></div><div>
Other:</div><div>
Selected candidate will be required to obtain and maintain a clearance and must be a U.S. citizen. Please see <div>http://www.state.gov/m/ds/clearances/c10978.htm</div> for more information about requirements for obtaining a security clearance process.</div><div></div><div>
Job Family</div>
Research Development (RD)<div></div><div>
Job Profile</div>
Computational Science 1<div></div><div>
Worker Type</div>
Regular<div></div><div>
Time Type</div>
Full time<div></div>
The expected hiring range for this position is $74,799.00 - $118,785.42.<div></div><div>
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.</div><div></div><div>
Click <div>here</div> to view Argonne employee benefits!</div><div></div><div><i>
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.</i></div><div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><i>
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.</i></div><div></div><div><i>
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Assistant Computational Data Scientist

Tap Growth ai

<div>
 <strong>
  🌟 We're Hiring: Scientist Chemistry! 🌟
  <br/>
  <br/>
 </strong>
 We are seeking to hire a
 <strong>
  Scientist Chemistry
 </strong>
 in
 <strong>
  Waltham, MA.
  <br/>
  <br/>
 </strong>
 <strong>
  📍 Location:
 </strong>
 Waltham, United States
 <br/>
 <br/>
 <strong>
  ⏰ Work Mode:
 </strong>
 Work From Office
 <br/>
 <br/>
 <strong>
  💼 Role:
 </strong>
 Scientist Chemistry
 <br/>
 <br/>
 <strong>
  Pay Scale:
 </strong>
 Up to $93, 932.80 (Dependent on Experience)
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 ∙Design and conduct MD simulations to explore structure, dynamics, and interactions
 <br/>
 <br/>
 relevant to molecular interactions
 <br/>
 <br/>
 ∙Apply coarse-grained MD techniques and contribute to methodological improvements where possible.
 <br/>
 <br/>
 ∙Analyze and interpret simulation results; effectively communicate findings to multidisciplinary project teams
 <br/>
 <br/>
 ∙Collaborate with experimental and therapeutic area colleagues to link modeling data to
 <br/>
 <br/>
 biological and pharmacological outcomes
 <br/>
 <br/>
 ∙Document methodologies, results, and best practices to enable knowledge transfer and reproducibility
 <br/>
 <br/>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 ∙You have a PhD (or equivalent experience) in computational chemistry, biophysics, structural biology, or a related field.
 <br/>
 <br/>
 ∙You have a proven track record with molecular dynamics simulation methodologies, including set-up, execution, and analysis
 <br/>
 <br/>
 ∙Preferably, you bring hands-on experience with coarse-grained MD approaches (such as MARTINI or related frameworks)
 <br/>
 <br/>
 ∙You are proficient in standard scientific programming/scripting (e.g., Python, Bash, or similar)
 <br/>
 <br/>
 ∙You communicate scientific concepts clearly, both verbally and in writing
 <br/>
 <br/>
 ∙Familiarity with other computational biophysics techniques (e.g., protein-protein docking, enhanced sampling)
 <br/>
 <br/>
 Ready to make an impact? 🚀 Apply now and let's innovate together!
</div>


Scientist Chemistry/ Computational Chemist

Aganitha AI

<div><div><div><h4 class="jobSectionHeader"><b>Join us and contribute to the discovery of medicines that will impact lives!</b></h4></div></div>
<div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>Hyderabad, India | Hybrid | Full-Time
</b></h3></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h3 class="jobSectionHeader"><b>About Aganitha</b></h3></div></div><div><div><p>
High-throughput experimentation, computational &amp; data-driven modeling, and the advent of the Open Science era are fundamentally transforming research, discovery, and development across diverse industries. Aganitha is at the forefront of co-innovation with global clients, shaping next-generation R&amp;D (aganitha.ai). While our primary client base has been in global Biopharma, we are actively expanding our collaborations into consumer brands and, in the near future, the materials design industry.</p><p>
As a Scientist at Aganitha, you will be instrumental in leveraging cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will contribute to accelerating design and development across a spectrum of applications, including but not limited to: small molecule therapeutics, biologics, gene, cell &amp; RNA therapies within Biopharma; new product formulations for consumer brands; and novel materials for various industrial applications.</p><p>
You will collaborate closely with research leaders at our client organizations, identifying their needs and designing innovative solutions. Working with our internal technical and scientific teams, you will drive solutions from concept to launch and growth. You may also interact with external vendors to coordinate experimental validation of the <i>in silico</i> solutions developed at Aganitha.</p><p>
To excel in this role, you must possess a strong interest in engaging with customers to apply the latest scientific and technological advancements for R&amp;D acceleration, thereby contributing to Aganitha&rsquo;s growth.</p></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3></div></div><div><div><ul><li><b>
Design and develop AI/ML models</b> to solve complex problems, such as predicting molecular properties, material behaviors, or reaction outcomes.</li><li><b>
Curate, process, and analyze scientific datasets</b> from various sources, including literature and experimental data, ensuring data quality and readiness for model training.</li><li>
The candidate should be skilled in analyzing high-throughput omics datasets such as single-cell, spatial, and genomic data, and in computational modeling of biological systems, including network and pathway analysis. They should also have expertise in the in-silico design and optimization of therapeutic candidates such as antibodies, RNA molecules, and viral vectors. Proficiency in bioinformatics tools, biological databases, and the application of AI/ML approaches for biological data analysis and predictive modeling is essential.</li><li><b>
Develop intelligent featurization strategies</b> that accurately represent chemical structures, physical properties, or biological interactions, drawing upon your scientific understanding.</li><li><b>
Implement, train, and evaluate cutting-edge Machine Learning and Deep Learning algorithms</b> (e.g., CNNs, RNNs, LSTMs, Transformer architectures) to build robust predictive models.</li><li><b>
Rigorously validate models</b> against client-provided data and established benchmarks, ensuring their accuracy, generalizability, and utility.</li><li><b>
Translate complex technical and scientific findings</b> into clear, actionable insights for both technical and non-technical stakeholders.</li><li><b>
Collaborate effectively</b> with computational chemists, data scientists, and wet lab scientists to define project requirements, iterate on solutions, and ensure successful deployment.</li><li><b>
Stay abreast of the latest advancements</b> in AI/ML, computational chemistry, and relevant scientific domains, continuously seeking opportunities to apply new methodologies.</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3></div></div><div><div><ul><li><b>
PhD, post-doctoral research, or equivalent higher studies</b> in Computational Chemistry, Cheminformatics, Materials Science, Chemical Engineering, Biochemistry, Computational Biology, Bioinformatics, Computational Physics, Medicinal Chemistry, Applied Mathematics, Applied Statistics, Fluid Dynamics or a closely related scientific discipline.</li><li>
Familiarity with one or more of the following core domain skills: High-throughput docking and QSAR studies, Atomistic or Coarse-grained Molecular Dynamics (including Enhanced MD using PLUMED, Langevin Dynamics, Brownian Dynamics, and Dissipative Particle Dynamics), Periodic or non-periodic Quantum Chemical Calculations, Ab initio MD simulations and QM/MM simulations, Cheminformatics using RDKit, Mathematical Modeling, or Computational Fluid Dynamics.</li><li><b>
Strong foundational understanding</b> of the scientific principles underlying computational chemistry, materials science, or related fields (e.g., colloidal chemistry, polymer science, surfactant chemistry, soft condensed matter physics, etc.).</li><li><b>
Solid mathematical intuition</b> of Machine Learning algorithms, including Deep Learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTMs, and Transformer architectures.</li><li><b>
Proficiency in modular, typed, and object-oriented Python programming.</b></li><li><b>
A high-level understanding of the ML/DL project lifecycle</b>, from data preparation and feature engineering through model development, training, evaluation, and deployment.</li><li><b>
Excellent problem-solving skills</b> and the ability to apply critical thinking to complex scientific and technical challenges.</li><li><b>
Strong verbal and written communication skills</b>, with the ability to effectively communicate technical concepts to diverse audiences.</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3></div></div><div><div><ul><li>
Experience in effectively building and deploying ML solutions using popular frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn.</li><li>
Proficiency in shell scripting.</li><li>
Proficiency in working with Linux-based operating systems (e.g., Ubuntu, Fedora, CentOS, Debian).</li></ul></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>
Big Plus</b></h3></div></div><div><div><ul><li>
Exposure to large language models (LLMs) such as ChatGPT, Claude, or Gemini, and practical experience in utilizing such tools for day-to-day work (e.g., writing research reports, understanding new concepts, generating code).</li><li>
Experience in optimal usage of High Performance Computing (HPC) resources.</li><li>
Familiarity with container-based usage of software and their dependencies (e.g., Docker).</li></ul></div></div></div></div></div></div></div><p></p>

Scientist (AI Modeling for Computational Sciences)

Micron Technology

<div><p><b>Our vision is to transform how the world uses information to enrich life for </b><b><i>all</i></b><b>.
</b></p><p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Develop and validate computational models for the process, structure, and multi-physics analysis with FEM and CFD tools (<i>e.g</i>., Abaqus, ANSYS Fluent, COMSOL, Star-CCM).</li><li>
Conduct simulations and analyze results to optimize designs and ensure compliance with industry standards.</li><li>
Ability to comprehend statistical process analysis and control systems.</li><li>
Utilize data analysis and machine learning techniques to improve the accuracy and efficiency of simulations.</li><li>
Collaborate with cross-functional teams to support product development and troubleshoot engineering issues.</li><li>
Prepare technical reports and presentations to communicate analysis results and recommendations.</li><li>
Stay updated with the latest advancements in FEA, CFD, numerical methods, computational geometry, and machine learning.</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
Master's or PhD degree in Chemical Engineering, Applied Chemistry, Applied Physics, Materials Science, or related fields.</li><li><b>
5+ years of experience in computational modeling.</b></li><li>
Experience with numerical methods, scientific computing and scripting languages (e.g., Python, MATLAB, FORTRAN, C++).</li><li>
Experience with data analysis tools and machine learning frameworks (e.g., Python, TensorFlow, etc.).</li><li>
Familiar with FEA, FVM, PFM, HPEM, methods and implementations.</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Ability to work independently and collaboratively in a fast-paced environment.</li><li>
Experience with HPC on Linux environment</li><li>
Experience with computational geometry and mesh generation techniques.</li></ul><p></p><p><b><br>
Preferred Skills:</b></p><ul><li>
Knowledge of multi-physics simulations and advanced material models.</li><li>
Strong background in computational fluid dynamics, thermodynamics, physics, chemistry, and statistical/data analysis.</li><li>
Strong communication and presentation skills.</li><li>
Ability to manage multiple projects and meet deadlines.</li></ul><p></p><p><b>
About Micron Technology, Inc.</b></p><p>
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life <i>for all</i>. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron&reg; and Crucial&reg; brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities &mdash; from the data center to the intelligent edge and across the client and mobile user experience.<br>
<br>
To learn more, please visit micron.com/careers<br>
<br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.<br>
<br>
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com</p><p></p><p>
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.</p><p></p><p>
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.</p><p></p><p>
AI alert<b>:</b> Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.</p><p></p><p>
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</p></div><p></p>

Senior Engineer, TD Advanced Modeling

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about <b>our What and our Why</b> and how we can<b> </b>work<b> together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
What role you will play in our team</b></h2></div><p></p><div><p><br>
We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration &amp; production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you will do</b></h2></div><p></p><div><br>
<ul><li>
Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.</li><li>
Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.</li><li>
Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.</li><li>
Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
About You</b></h2></div><p></p><div><p><b><br>
Skills and Qualifications</b></p><br>
<p></p><ul><li>
Bachelor&rsquo;s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines with minimum 7.0 CGPA or equivalent.</li><li>
Minimum 3 years of experience in Data Science and Machine Learning or related computational domain.</li><li>
Competent to expert level programming experience in C/C++/Python.</li><li>
Strong foundation in application design.</li><li>
Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development.</li><li>
Experience with Source code version control (Git), Azure Cloud platform and containers, Databricks and MLflow.</li><li>
Continuous Integration and Continuous Deployment.</li><li>
Familiarity with statistical analysis, regression and classification.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications / Experience</b></h2></div><p></p><div><br>
<ul><li>
Experience with time series analysis, computer vision, natural language processing.</li><li>
Knowledge or hands on experience on Matlab &amp; SQL.</li><li>
Strong written and verbal communication skills.</li><li>
Prior knowledge of commercial software development and/or experience in commercial software teams.</li><li>
Familiarity with Oil and Gas Industry.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your benefits</b></h2></div><p></p><div><p><br>
An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:</p><br>
<p></p><ul><li>
Competitive compensation</li><li>
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits</li><li>
Retirement benefits</li><li>
Global networking &amp; cross-functional opportunities</li><li>
Annual vacations &amp; holidays</li><li>
Day care assistance program</li><li>
Training and development program</li><li>
Tuition assistance program</li><li>
Workplace flexibility policy</li><li>
Relocation program</li><li>
Transportation facility</li></ul><p></p><p><br>
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company&rsquo;s eligibility guidelines.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Stay connected with us</b></h2></div><p></p><div><br>
<ul><li>
Learn more about ExxonMobil in India, visit <b>ExxonMobil India</b> and <b>Energy Factor India</b><b>.</b></li><li>
Follow us on <b>LinkedIn</b> and <b>ExxonMobil (@exxonmobil) &bull; Instagram photos and videos</b><b>
</b></li><li>Like us on <b>Facebook</b></li><li>
Subscribe our channel at <b>YouTube</b></li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
EEO Statement</b></h2></div><p></p><div><p><br>
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.</p></div></div><div><div><h2 class="jobSectionHeader"><b><br>
Business solicitation and recruiting scams</b></h2></div><p></p><div><p><br>
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.</p></div></div></div><p></p><p><br>
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p></div>

Machine Learning Engineer

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