computational biologist

Servaid Pharmacy

<p><b>Location:</b> Remote (for a USA-based Startup)<br/><b>Experience Level:</b> 3+ Years (Computational Biology / Bioinformatics)<br/><b>Compensation:</b> Hourly USD rate (based on experience)<br/><b>Employment Type:</b> Remote | Contract / Part-Time<br/><b>Time Tracking:</b> Work hours monitored through a time-tracking tool</p><p><b>About the Role</b></p><p>A fast-growing <b>U.S.-based biotech startup</b> is seeking a <b>Computational Biologist / Bioinformatician</b> to support data-driven biological discovery. The ideal candidate will analyze multi-omics datasets, identify biomarkers, and collaborate with AI/ML engineers working on structure-based drug discovery and molecular modeling projects.</p><p><b>Key Responsibilities</b></p><ul><li>Source, curate, and integrate datasets from <b>TCGA, GEO, GTEx, ClinVar, gnomAD, and COSMIC</b>.</li><li>Harmonize clinical and omics metadata for consistent, reproducible datasets.</li><li>Perform <b>differential expression</b> and <b>survival analyses</b> to identify and validate biomarkers.</li><li>Deliver clean feature matrices, structured datasets, and analytical summaries for downstream use.</li><li>Collaborate with machine learning engineers using <b>AlphaFold</b> and <b>DiffDock</b> outputs.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Strong background in <b>molecular biology, cancer biology, or genomics</b>.</li><li>Hands-on experience with <b>RNA-seq analysis</b>, <b>DESeq2/edgeR</b>, and <b>survival analysis</b>.</li><li>Proficiency in <b>Python</b> or <b>R</b> (Bioconductor, pandas, NumPy, scikit-learn).</li><li>Experience with <b>SQL</b> and workflow automation tools (<b>Snakemake</b>, <b>Nextflow</b>, <b>Docker</b>, <b>Git</b>).</li><li>Ability to interpret and present statistical analyses clearly and accurately.</li></ul><p><b>Preferred / Bonus Skills</b></p><ul><li>Familiarity with <b>single-cell RNA-seq</b> (Seurat or Scanpy).</li><li>Experience with <b>GDSC</b>, <b>DepMap</b>, or other drug response datasets.</li><li>Knowledge of <b>GSEA / pathway enrichment</b> analysis.</li><li>Understanding of <b>RDKit</b> or structure-based file handling.</li></ul><p><b>Why Join Us</b></p><ul><li>Work remotely with a dynamic, U.S.-based biotech startup.</li><li>Collaborate with global experts in genomics, ML, and molecular modeling.</li><li>Flexible work hours with transparent time tracking.</li><li>Competitive hourly USD compensation.</li></ul><p><b>To Apply:</b><br/>Send your updated CV and portfolio (if available) to <b>crewedge1@gmail.com</b></p><p>Job Type: Full-time</p><p>Pay: Up to Rs17.00 per hour</p><p>Expected hours: 40  &ndash; 48 per week</p><p>Application Question(s):</p><ul><li>Availability in overlapping time zones</li><li>Comfort with remote/time-tracked work</li></ul><p>Experience:</p><ul><li>Technical expertise (bioinformatics tools &amp; languages): 3 years (Preferred)</li><li>Practical experience with real datasets: 3 years (Preferred)</li></ul><p>Work Location: Remote</p>

Computational Biologist / Bioinformatician – Remote Opportunity – USD Hourly Rate

Teacher of Arts (High school) Philosophy of the Arts (HKU)

<div>
 The University of Hong Kong
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 <br/>
 Apply now
 <strong>
  Ref.:
 </strong>
 533256
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 <strong>
  Work type:
 </strong>
 Full-time
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 <strong>
  Department:
 </strong>
 Centre for PanorOmic Sciences (22200)
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  Categories:
 </strong>
 Executive / Technical / Support
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 Hong Kong
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 <strong>
  Computational Biologist (at the rank of Senior Technical Officer) in the Centre for PanorOmic Sciences (CPOS)
 </strong>
 (Ref.: 533256) (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)
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 <strong>
  We are Expanding | Come and Join Us
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  <br/>
 </strong>
 Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine. CPOS core laboratories host state-of-the-art technology platforms with sophisticated equipment supported by over 75 dedicated members. Welcome to visit https://cpos.hku.hk to explore more.
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  Career Prospects
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   Unique opportunity to participate in world-class research
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   Exposure to a wide range of NGS applications and omics research
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   Long-term development opportunities
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   Expert technical and managerial career track
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 <strong>
  The Role
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   Apply the latest analytics tools to single cell multi-omics data and establish analysis pipelines
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   Engage in collaborative efforts with scientists and provide expert informatics solutions and training
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   Implement cutting-edge AI/ML solutions
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   Provide mentorship to a highly impactful bioinformatics team
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  Qualifications And Qualities
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   Ph.D. degree in Bioinformatics, Computer Science, Biological Sciences or related disciplines
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   At least 4 years' hands-on data analytics experience
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   Experience in programming languages such as R, Python, or related languages
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   Experience in single cell multi-omics or spatial transcriptomics
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   Background or experience in AI/ML, with demonstrated applications in bioinformatics (advantageous)
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   Excellent communication skills
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   Proactive and enjoy teamwork
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   Willing to meet new challenges
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 Shortlisted candidates will be invited to attend an interview. Those who have responded to the previous advertisement (Ref.: 533053) need not re-apply.
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 A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, continuing professional development, and free access to on-campus gyms and libraries.
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 The University only accepts online application for the above post. Applicants should apply online at the University&rsquo;s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
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  October 31, 2025
 </strong>
 , or until the post is filled, whichever is earlier.
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 <strong>
  Advertised:
 </strong>
 Oct 1, 2025 (HK Time)
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  Applications close:
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 Oct 31, 2025 (HK Time)
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Computational Biologist (at the rank of Senior Technical Officer)

Vantage Research

<div>
 <strong>
  Company Profile
  <br/>
  <br/>
 </strong>
 Vantage Research is a Contract Research Organization working on the exciting field of Modeling &amp; Simulation for Drug Development. Some of the disease areas we focus on are Oncology, Auto-Immune and Metabolism and Weight-Loss. Our core strength is the development of mechanistic models of physiology that can be customized to the drug development question at hand. We are a high performance team working with global clients and passionate about our science &amp; impact. We are looking for motivated people to be part of our journey as we scale.
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 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 The Scientist-Biologist plays a pivotal role in driving the biological aspects of a research project, collaborating closely within an interdisciplinary team. This position entails a deep dive into the physiological mechanisms underlying various diseases, encompassing autoimmunity, immuno-oncology, neuroscience, and metabolic disorders. Through comprehensive and meticulous literature reviews, the individual will synthesize current scientific knowledge and effectively communicate findings to the team. This role is intellectually stimulating and demands a strong analytical mindset to integrate scientific insights into quantitative models, thereby catalyzing advancements in research and development. The individual will contribute significantly to shaping the direction of research, identifying potential therapeutic targets, and informing the development of innovative treatment strategies.
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  Responsibilities
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 </strong>
 <ul>
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   Conduct in-depth literature reviews on disease mechanisms, staying abreast of cutting-edge research.
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   Critically analyze scientific literature to identify key biological pathways and therapeutic targets.
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   Collaborate with a multidisciplinary team, effectively communicating biological insights and contributing to project goals.
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   Develop and refine quantitative models that integrate biological data and drive research progress.
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   Contribute to the development of innovative research strategies and experimental designs.
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   Prepare and present scientific reports and presentations to internal and external stakeholders.
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  </li>
 </ul>
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  Qualification For Scientist-Biologist
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 </strong>
 <ul>
  <li>
   Masters, PhD or equivalent in Biology, Biochemistry, Immunology, Physiology, Cell &amp; Molecular Biology or a related field.
  </li>
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   Strong understanding of disease biology, particularly in areas such as autoimmunity, immuno-oncology, neuroscience, or metabolic disorders.
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   Proven ability to critically analyse scientific literature and synthesize complex information.
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   Experience in developing and applying quantitative models to biological systems.
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   Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
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   Strong problem-solving and analytical skills.
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   Passion for scientific discovery and innovation.
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  <em>
   Note:
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  This position is purely computational and does not involve any wet-lab work. The successful candidate will leverage their expertise in biological sciences and computational modeling to drive impactful research and contribute to the development of novel therapeutic interventions.
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</div>


Scientist - Biologist

Stanford University

<p>Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy  The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.</p><p>The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.</p><p>The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science.</p><p><strong>Duties include:</strong></p><ul><li>Collect, manage and clean datasets.</li><li>Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.</li><li>Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.</li><li>Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.</li><li>Analyze data processes in documentation.</li><li>Collaborate with faculty and research staff on data collection and analysis methods.</li><li>Provide documentation based on audit and reporting criteria to investigators and research staff.</li><li>Communicate with government officials, grant agencies and industry representatives.</li></ul><p><em> - Other duties may also be assigned</em></p> <p><strong>DESIRED QUALIFICATIONS:</strong></p><ul><li>Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.</li><li>Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. </li><li>Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.</li><li>Experience and comfort in working within a UNIX/Linux environment.</li><li>Background in programming languages such as Python, R, Matlab, Perl.</li><li>Good communication and team skills and fluency in both spoken and written English.</li><li>Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.</li><li>A background in oncology and/or immunology is preferred. </li><li>Knowledge of Monte Carlo based statistical methods.</li><li>Background in cancer biology.</li><li>Familiarity with predictive modeling and machine learning.</li><li>Skills in machine learning and data analysis software.</li></ul><p><br><strong>EDUCATION & EXPERIENCE (REQUIRED):</strong><br>Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.</p><p><br><strong>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</strong></p><ul><li>Substantial experience with MS Office and analytical programs.</li><li>Strong writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul><p><br><strong>PHYSICAL REQUIREMENTS :</strong></p><ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li></ul><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. <br><br><strong>WORKING CONDITIONS:</strong></p><p>Some work may be performed in a laboratory or field setting.</p><p><strong>WORK STANDARDS:</strong></p><ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul><p> The expected pay range for this position is $80,148 to $99,773 per annum. <br> Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. 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, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. </p><p> At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . </p><p> Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. </p><p> Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. </p><img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeooPuIX86ZyOvtcP7MAZiJ6Om" width="0" height="0" />

Bioinformatician/Research Data Analyst 1

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

Lantern Pharma

<p>We are seeking a motivated <b>Biopharma Software Engineer</b> to build and maintain the computational infrastructure powering Lantern's AI-enabled oncology drug discovery programs. You will work closely with computational scientists and research teams to create scalable, robust systems that accelerate therapeutic development.</p><p>The ideal candidate will combine software engineering skills with interest in drug discovery, building cloud-native platforms which enable cutting-edge AI/ML research in precision oncology.</p><p><b>RESPONSIBILITIES:</b></p><ul><li>Design, build, and maintain in silico molecule pipelines and infrastructure supporting AI/ML drug discovery projects</li><li>Develop scalable data processing workflows for integrating public and proprietary preclinical and clinical datasets</li><li>Implement cloud-based computing solutions for large-scale genomic and chemical data analysis</li><li>Create and maintain APIs and tools enabling scientists to access computational resources and datasets efficiently</li><li>Build data infrastructure for storing, versioning, and querying diverse biomedical databases including genomic, pathway, and drug response resources</li><li>Collaborate with AI drug development scientists to understand computational requirements and optimize infrastructure</li><li>Implement MLOps best practices for model deployment, monitoring, and versioning</li><li>Ensure data security, compliance, and reproducibility across computational workflows</li><li>Document systems architecture, pipelines, and infrastructure for team knowledge sharing</li><li>Support computational scientists in troubleshooting technical issues and optimizing analyses</li></ul><p><b>REQUIRED QUALIFICATIONS:</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Bioinformatics, Bioengineering, Computational Biology, or related field</li><li>3+ years of experience in software engineering, preferably in biotech, pharma, or healthcare settings</li><li>Strong programming proficiency in Python and familiarity with scientific computing libraries (NumPy, Pandas, scikit-learn)</li><li>Foundational understanding of LLMs and agential chat applications with experience working with OSS models and hosted APIs (OpenAI, Anthropic, etc.)</li><li>Experience with cloud computing platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)</li><li>Knowledge of workflow management systems (Nextflow, Snakemake, Airflow, or similar)</li><li>Familiarity with version control systems (Git) and CI/CD practices</li><li>Understanding of databases (SQL and NoSQL) and data warehousing concepts</li><li>Strong problem-solving skills and ability to work collaboratively with scientists</li><li>Excellent communication skills for technical and non-technical audiences</li></ul><p><b>PREFERRED QUALIFICATIONS:</b></p><ul><li>Experience with biological data types (genomics, proteomics, chemical structures)</li><li>Knowledge of ML frameworks (TensorFlow, PyTorch) and MLOps tools</li><li>Understanding of serverless engineering and methods of implementation and deployment (Lambdas, AWS Sagemaker)</li><li>DevOps experience with the ability to automate deployment processes and service monitoring</li><li>Familiarity with drug discovery concepts or computational chemistry</li><li>Experience working in remote/distributed team environments</li><li>Understanding of data privacy and compliance requirements (HIPAA, GDPR)</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Biopharma Software Engineer

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)

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