112 Genomics Jobs - Page 3

Job Summary As an Intern Scientific Curator , you will assist the genomics research and product development teams by supporting literature curation, genetic data interpretation, and content development activities. This internship will provide you with hands-on experience in scientific data curation, exposure to genetic databases and pipelines, and opportunities to participate in cross-functional discussions and knowledge-sharing sessions. Key Responsibilities Support the systematic review of scientific literature to identify relevant genetic markers, gene-trait associations, and clinical insights. Assist in extracting, organizing, and annotating genetic and genomic data using standardized formats and controlled vocabularies. Help maintain internal genetic databases, ensuring consistency, accuracy, and traceability of curated content. Work alongside the bioinformatics team to learn how curated data is integrated into analysis pipelines. Contribute to drafting and reviewing technical and scientific content for internal presentations, training materials, and marketing support. Join knowledge-sharing discussions, taking notes and supporting post-meeting documentation or action items. Support in conducting market analysis and support evaluation of global genomics trends and new test ideas. Learning Outcomes Gain practical exposure to genomic data interpretation and literature curation. Understand how curation feeds into bioinformatics workflows and report generation. Learn professional documentation practices and scientific communication. Get mentored by experienced professionals across scientific, bioinformatics, and product teams.

Sales Strategy and Planning, Customer Relationship Management, Team Management and Leadership, Business Development, Compliance and Reporting. Required Candidate profile Graduate_3-4yrs exp as Area Sales Manager/Territory Manager only from Genetics/Genomics experience (Healthcare). Location: Bangalore Suitable candidates can share CV to hr@lordspath.com

Here is what you will do - Business development & sales target achievement for high end genomics tests through technical sales discussions. Lead Generation and closure to provide growth for highly specialized genomics departments like Cytogenetics, Molecular Diagnostics, NGS, HLA. To service the customers and help in identifying the clinical need gap for genomics vertical growth. Work in field to meet doctors & Healthcare professionals for business generation. To keep track of latest developments in genomics &provide feedback. Help create & support necessary network to sample picks & service provision What are we looking for? Minimum 2 years experience in Diagnostic Any Graduate Good communication and selling skills with the sound market knowledge

Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www. syngeneintl. com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we'do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company s integrity quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications: masters degree in bioinformatics. Technical Skills Mandatory: Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e. g. , ggplot2, matplotlib, seaborn). Preferred: Machine learning: Familiarity with AI/ML concepts Behavioral Skills: Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values: All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Equal Opportunity Employer: . #LI-JK1

Genestrings Diagnostic Locations: Guwahati | Lucknow | Patna | Kolkata 1–5 yrs in Genomics/genetics sales Role: Promote genetic and molecular diagnostic tests. Drive sales, manage relationships, and achieve targets. Contact: 8448180806 Required Candidate profile Requirements: 1–5 yrs in diagnostics/pharma/genetics sales Good communication skills Local market knowledge Life Sciences background preferred

Position: Area Business Manager Location: Jodhpur Here is what you will do - Business development & sales target achievement for high end genomics tests through technical sales discussions. Lead Generation and closure to provide growth for highly specialized genomics departments like Cytogenetics, Molecular Diagnostics, NGS, HLA. To service the customers and help in identifying the clinical need gap for genomics vertical growth. Work in field to meet doctors & Healthcare professionals for business generation. To keep track of latest developments in genomics &provide feedback. Help create & support necessary network to sample picks & service provision What are we looking for? Minimum 2 years experience in Diagnostic Any Graduate Good communication and selling skills with the sound market knowledge Interested candidates may send their CV on aayushi.verma@lalpathlabs.com

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a Biotechnology SME for K12 Level to develop and refine educational content. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance. Key Responsibilities:. Annotate and evaluate AI-generated Biotechnology content aligned with K12 curriculum standards. Ensure accurate and accessible explanations of topics like genetics, molecular biology, and genetic engineering. Design prompts and assess AI responses for clarity, engagement, and scientific relevance. Provide feedback to improve the AIs instructional quality and conceptual accuracy. Collaborate with AI teams to integrate best practices from K12 Biotechnology education. Required Qualifications:. Bachelors or Masters degree in Biotechnology, Life Sciences, Education, or a related field. Strong knowledge of K12 Biotechnology curriculum. Ability to simplify complex concepts in biotechnology and biology. Experience in content creation or teaching at the K12 level is a plus. Familiarity with online teaching tools and educational platforms is beneficial. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process. .

Role Overview We are seeking a highly motivated AI Researcher with a Ph.D. in Mathematics or Physics to join our research team. You will contribute to the development of cutting-edge AI models applied to biological data, collaborating with scientists and engineers to drive discovery and innovation. Develop, analyze, and optimize advanced machine learning models, including deep learning and probabilistic models, tailored to biomedical applications. Conduct theoretical and applied research bridging mathematics/physics with biological systems and data. Collaborate with domain experts to frame complex biological challenges into solvable AI problems. Design and implement experiments to validate model performance on real-world biological datasets (e.g., genomics, proteomics, medical imaging). Publish findings in top-tier journals and conferences, and contribute to patents and IP development. Stay current with the latest research in AI, applied mathematics, and computational biology. Qualifications Ph.D. in Mathematics, Physics, or a closely related field. Strong background in one or more of the following: statistical mechanics, optimization, information theory, Bayesian inference, or numerical modeling. Solid programming skills in Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, JAX). Ability to work with large-scale, high-dimensional datasets. Excellent problem-solving and mathematical modeling skills. Strong communication skills and the ability to work in an interdisciplinary team. Preferred Qualifications Experience with AI applications in biology, chemistry, or healthcare. Familiarity with bioinformatics tools and biological data formats (e.g., FASTA, VCF). Previous publications or projects in applied AI research.

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational chemistry to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying advanced computational methods to design, optimize, and analyze small molecules and their interactions with biological targets, contributing to drug discovery and disease modeling efforts. The successful candidate will have a PhD in computational chemistry, cheminformatics, physical chemistry, or a related field, with a deep understanding of molecular modeling, simulations, and structure-activity relationships. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational chemistry to support drug discovery projects, including virtual screening, lead optimization, and ADME/Tox predictions. Utilize molecular modeling, molecular dynamics simulations, quantum mechanics, and docking techniques to understand ligand-protein interactions and predict binding affinities. Integrate chemical data with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify novel therapeutic opportunities and understand disease mechanisms. Work with a team of computational biologists and software experts to develop and apply AI/ML approaches for chemical property prediction and drug design. Stay up to date with the latest advancements in computational chemistry, cheminformatics, and AI-driven drug discovery to incorporate cutting-edge research into project efforts. Collaboration & Project Management: Work closely with cross-functional teams, including medicinal chemists, biologists, computational scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational chemistry, cheminformatics, physical chemistry, or a closely related field. Strong expertise in molecular modeling, molecular dynamics simulations, quantum mechanics, and virtual screening techniques. Solid understanding of drug discovery principles, medicinal chemistry concepts, and structure-activity relationships. Proficiency with relevant computational chemistry software (e.g., Schr dinger, OpenEye, GROMACS, Amber) and programming languages (e.g., Python, R). Excellent verbal and written communication skills, with the ability to convey complex chemical and computational concepts clearly. Preferred: Experience with large-scale chemical data analysis and cheminformatics tools. Experience applying machine learning or artificial intelligence to chemical problems. Previous experience working in a multidisciplinary research environment, especially in a biopharmaceutical setting. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational chemistry in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational chemistry and AI-driven drug discovery. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in structural biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve applying structural biology techniques to understand protein-protein interactions, drug-target binding, and disease mechanisms, integrating these insights into computational models. The successful candidate will have a PhD in structural biology, biophysics, biochemistry, or a related field, with a deep understanding of macromolecular structure and function. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in structural biology to characterize macromolecular complexes and understand their roles in disease pathways. Integrate structural insights with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to understand molecular mechanisms of disease. Utilize and develop computational tools for structural modeling, molecular dynamics simulations, and ligand docking to complement experimental data. Stay up to date with the latest advancements in structural biology, biophysics, and computational methods to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, computational scientists, and clinicians to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in structural biology, biophysics, biochemistry, or a closely related field. Strong expertise in at least one major structural biology technique (e.g., X-ray crystallography, cryo-electron microscopy (cryo-EM), NMR spectroscopy). Solid understanding of protein structure-function relationships, macromolecular interactions, and their relevance to disease biology. Experience in experimental design, data collection, data processing, and structure determination. Excellent verbal and written communication skills, with the ability to convey complex structural biology concepts clearly. Preferred: Experience with computational structural biology tools (e.g., Rosetta, AlphaFold, molecular dynamics software). Previous experience working in a multidisciplinary research environment. Familiarity with AI/ML approaches in structural biology or drug discovery. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in structural biology in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of structural biology and disease research. Contribute to groundbreaking disease modeling and molecular insights. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

About ThinkBio.Ai ThinkBio.Ai is revolutionizing BioPharma and Clinical Healthcare with AI-powered solutions. Our five specialized teams clinical, science, AI, software, and managed services develop horizontal solutions like data platforms and workflow tools and vertical solutions focused on areas like oncology, autoimmune diseases, and cardiology. Our mission is to help our clients find answers to their toughest questions and accelerate breakthroughs from research to the clinic. Position Summary Excellent opportunities are available to engage in cutting edge projects for building digital/AI solutions for biomedical research cycle-based discovery and development of innovations. We are looking for enthusiastic and energetic life science scientists (PhD level) with a passion for learning and impacting human lives by facilitating scientific discoveries through digital technology. Job Description Systematically classify various domains and subdomains of biomedical discovery research process. Identify opportunities for creating digital solutions to assist biomedical research scientists. Reimagine biomedical research process and visualize how innovative digital/AI platform can transform innovations in biological sciences. Interface with software and AI teams to facilitate their understanding of various research processes underlying biomedical sciences, help realize the gaps that can be solved with digital platforms Work with the digital tech team to facilitate the creation of digital solutions for biological sciences Work with the leadership to identify key areas of biomedical commercial opportunities. Conduct routine market analysis, spot emerging business opportunities, inform ThinkBio leadership Manage associates. Participate and present results at cross-functional team meetings. Contribute to building a positive, team-oriented work culture. Essential qualifications Curious, driven, passionate, aspires to use science and digital solutions to make human lives better. PhD in any branch of biological sciences with experience in the broad areas related to cell, genome, biochemistry and therapeutic discovery. Significant understanding of the broader biomedical research and various processes related to discovery and innovations of new aspects of biology and/or drugs (e.g., cell biology, mechanism of action discovery, phenotypic assays, biochemical assays, immunology, genomics, protein engineering, drug screening, mammalian cell and genome engineering, cell signalling, drug discovery screening, or related fields). Familiarity with a wide range of experimental approaches. Enjoys conceiving ideas, and driving experimental approaches to convert ideas as measurable results. Knowledge seeker with a passion for learning about new technologies. Demonstrated ability to present in scientific conferences and internal meetings. Motivated, team oriented, thriving in matrix format work environment with diverse technical expertise. Attention to detail and demonstrated ability in multi-tasking, in a fast-paced environment. Ability to adapt to changing priorities, coupled with demonstrated eagerness to learn new technologies. Curiosity to dive below the obvious and proactively identify critical issues or opportunities. Desirable additional experience Experience in the following area is highly desirable, but not essential. Experience working with digital platforms for biomedical research

About ThinkBio.Ai ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams clinical, science, AI, software, and managed services work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic. Position Summary: We are seeking a highly motivated individual with expertise in computational biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve developing and applying computational methods to integrate multi-omics data for disease modeling and understanding biological mechanisms. The successful candidate will have a PhD in computational biology, bioinformatics, systems biology, or a related field, with a deep understanding of analyzing large-scale biological datasets. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position. : Apply deep domain knowledge in computational biology to develop and refine disease models using diverse biological data. Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify key biological insights and mechanisms. Develop and implement computational pipelines and algorithms for the analysis of complex biological data from public and proprietary sources. Stay up to date with the latest advancements in computational biology, bioinformatics, and systems biology to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, experimental scientists, and software engineers to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in computational biology, bioinformatics, systems biology, or a closely related field. Strong expertise in analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, proteomics, or metabolomics. Solid understanding of disease biology, with the ability to contextualize computational findings within broader disease mechanisms. Proficiency in programming languages commonly used in computational biology (e.g., Python, R) and experience with relevant software tools and databases. Excellent verbal and written communication skills, with the ability to convey complex computational concepts clearly. Preferred: Experience with machine learning or artificial intelligence techniques applied to biological data. Previous experience working in a multidisciplinary research environment. Familiarity with cloud computing environments and high-performance computing. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in computational biology/bioinformatics in either academia or industry will be hired as Scientists with opportunities for career advancement. Why Join Us? Work at the cutting edge of computational biology and disease modeling. Contribute to groundbreaking disease modeling and omics integration efforts. Collaborate with leading experts in multiple disease domains. Competitive salary, benefits, and career development opportunities. Application Instructions: Interested candidates should submit a cover letter and CV to careers@thinkbioai.com .

At ThinkBio.Ai we are adding Intelligence to Digital Biology. We leverage our deep expertise in Biotech, Pharma, Health Sciences, and AI, along with our experience in software development to provide platforms, toolkits, and solutions. Excellent opportunities are available to engage in cutting edge research using engineered biology-based approaches and frontier emerging areas of synthetic biology, to create transformative contributions in human drug discovery and development. We are looking for an enthusiastic and energetic Data and Computational scientist with a passion for learning and impacting human lives through scientific discoveries. Key Responsibilities Help refine, develop, and build the data analytics and computational strategy for ThinkBio.Ai Develop and apply computational/statistical methods to analyze various inhouse and externally sourced data including those related to biological experiments or human population parameters such as disease burden, genetic variation, cause-effect association etc. Analyze complex multi-omics data sets across various parameters and connect insights and observations to actionable hypotheses. Synthesize provided data into actionable insights by supporting any needed computational, statistical, machine learning or modeling capabilities needed to enable strategic decision making and advance our clinical and research programs. Develop and apply tailored data analytical and computational methods/techniques to advance both our clinical and research programs. Develop novel computational platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification Ability to integrate validated data analysis tools and pipelines from public resources to create robust data analysis and interpretation pipelines for visualization and integrative analysis, and interactive dashboards to create insightful visualization and interpretation of data. Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications. Required Qualifications and Skills Ph.D. or Masters in Computer science, Data science, Statistics, Bioinformatics or related fields. 10+ years experience and technical expertise in applied bioinformatics, computational biology, data science or biostatistics. Robust working knowledge and application of data analysis and modeling, data wrangling and data visualization. Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, high throughput dataset analysis. Proficiency with R/ Bioconductor, Python or equivalents, and relational databases (SQL, NoSQL). First-hand experience in multi-parametric data mining, analysis and visualization in any biomedical application. Exposure to multi-parametric data mining experience for disease stratification/endotyping, target identification and biomarker analysis. Experience and understanding of how bioinformatics and data science can best be applied to speed up drug discovery. Basic understanding of biological concepts and a familiarity with drug development process Knowledge of bioinformatic tools and databases to analyze genomics and proteomics data Ability to manage projects with minimal supervision, using creative and analytical thinking. Ability to drive highly collaborative work across the organization and outside the company Excellent oral and written communication. Desirable Additional Experience Experience in one or more of the following areas is highly desirable, but not essential. Deeper knowledge/training/experience in biomedical field. A minimum of 1-year research (academia or industry) experience. Demonstrated experience in deep learning and generative AI model based approaches such as bioinformatics foundation models (BFMs). Experience in genomics, transcriptomics, Next Generation Sequencing (NGS) analysis, single cell RNAseq, flow cytometry or IHC based data processing. Experience working with one or more of the following disciplines: synthetic biology, comparative genomics, population genetics, probabilistic modeling, population genetics, and quantitative modeling of biological systems. Experience with one or more of the following: P Snakemake, Nextflow, airflow, CWL, relational databases (SQL), GraphQL, distributed computing (AWS/Google Cloud), Docker, software version control (git). Managing a data analytics and computational operating model that encompasses processes and technologies for executing scalable data management solutions for various data types.

Location: Amberpet, Hyderabad Excellent communication skills Problem-solving mindset Book patient appointments on the phone Follow up with Patient Fluent in English, Hindi and (Tamil or Telugu or Malayalam ) Call or WhatsApp resume to: 7995542107 Required Candidate profile Must know genetics and knowladge of genetics a must

Job Title: Bioinformatician Job Location: Bangalore Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications: Masters degree in bioinformatics. Technical Skills Mandatory: Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred: Machine learning: Familiarity with AI/ML concepts Behavioral Skills: Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values: All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism

Position Overview DNA Labs India is seeking motivated undergraduate and graduate students to join our comprehensive Genetic Counseling Internship Program. This immersive experience is designed to provide aspiring genetic counselors with hands-on exposure to clinical genetics, genomics, and the essential skills required for effective genetic counseling practice. Working under the direct supervision of certified genetic counselors and medical geneticists, interns will gain valuable experience in both clinical and research environments. Key Responsibilities Clinical Support Activities Assist with case preparation for upcoming patient appointments and genetic counseling sessions Conduct pre-clinic telephone calls to obtain comprehensive medical and family histories from patients Create and analyze pedigrees using standardized genetic symbols and documentation methods Support genetic test ordering processes and coordinate with laboratory services Provide results follow-up communications to patients and healthcare providers Maintain accurate patient records while ensuring compliance with healthcare privacy regulations Research and Administrative Duties Participate in ongoing research projects including data collection, analysis, and manuscript preparation Assist with literature reviews and evidence-based research initiatives Perform essential clerical duties including documentation, filing, and administrative support Attend and contribute to journal clubs and case discussion meetings Support quality improvement initiatives within the genetic counseling department Learning and Development Shadow experienced genetic counselors during patient consultations across multiple specialties Observe real-time genetic counseling sessions to understand patient interaction dynamics Participate in mock counseling sessions to practice essential communication skills Attend educational seminars on genetic conditions, testing technologies, and counseling techniques Required Qualifications Educational Background Bachelor's degree in health sciences, psychology, biology, genetics, or related field Currently enrolled undergraduate students in relevant programs will be considered Completion of college-level genetics course is required

GeneTech- ATS GeneTech Private Limited is looking for Molecular Biologist to join our dynamic team and embark on a rewarding career journey Conduct research and experiments to study living organisms, including their structure, function, growth, and evolution Collect and analyze biological data in laboratory and field settings Use advanced tools and techniques such as microscopy, genetic testing, and computer modeling Prepare technical reports, scientific papers, and presentations Monitor environmental conditions and assess the impact on ecosystems Collaborate with multidisciplinary teams on projects in healthcare, agriculture, conservation, or biotechnology Ensure compliance with ethical and safety regulations while handling specimens and laboratory equipment Stay updated with the latest scientific developments in the biological sciences

What if the work you did every day could impact the lives of people you knowOr all of humanity At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Responsibilities: Ensures efficient processing of custom and off the shelf direct materials purchase requisitions driven by a planning process in a manufacturing environment. Owns the assigned suppliers and parts for the timely delivery of materials to the manufacturing site to satisfy requirements for manufacturing and spare parts. Maintains effective collaboration with suppliers to ensure no disruption to Illumina manufacturing and escalates internally and externally for support as needed. Performs management of Supplier part lead times, safety stock, expedites, Supplier Change Notifications (SCNs) and supplier collaboration of delivery reschedules. Collaborates with Planning, Quality, Engineering, Manufacturing teams and Suppliers on material quality issues. May facilitate virtual meetings, publish notes/actions. Collaborates with Sourcing, used SAP material settings and executes purchase orders to optimize pricing tiers, minimum order quantities, supplier capacity plans. Coordinates with supplier, Quality and Warehousing on RMA return to vendor actions including repair and refurbishment. Works with a PLM (Product Lifecycle Management) system with access to specifications, part diagrams, work instructions, etc.. Works with Reliance / ETQ quality management system, actions assignments, documents changes. Responsible for procurement business system data input and integrity, is champion for Suppliers using our Ariba B2B solutions, portals and collaboration tools. Ensures accuracy of confirmed delivery dates for materials on our SAP system and negotiates with suppliers as necessary to expedite or push out deliveries. Drives on time delivery, inventory turnover, requisition conversion and other key performance indicators (KPIs) for the assigned suppliers. Secures part certifications as appropriate from suppliers for successful global distribution of spare parts. May recommend cost saving proposals to suppliers in collaboration with Sourcing teams. Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs. Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs. Requirements: Experience in Global suppliers and stakeholder management SAP ECC MM module and MRP knowledge Ariba SCC knowledge preferred Thorough knowledge of direct procurement, vendor relations, and inventory management Familiar with GMP s, product specifications incoming inspection procedures Effective verbal and written communication, analytical and interpersonal skills Strong problem solving, organizational skills, detail oriented. Strong influencing and negotiating skills Strong Knowledge of Microsoft Excel and Outlook required Willingness to work in shift to support US Region (No night shift required) Experience/Education: Typically requires a minimum of 3-5 years of related experience with a Bachelor s degree; or 2 years and a Master s degree; or a PhD without experience; or equivalent work experience We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. . To learn more, visit: https: / / www.dol.gov / ofccp / regs / compliance / posters / pdf / eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

What if the work you did every day could impact the lives of people you knowOr all of humanity Responsibilities: Ensures efficient processing of custom and off the shelf direct materials purchase requisitions driven by a planning process in a manufacturing environment. Owns the assigned suppliers and parts for the timely delivery of materials to the manufacturing site to satisfy requirements for manufacturing and spare parts. Maintains effective collaboration with suppliers to ensure no disruption to Illumina manufacturing and escalates internally and externally for support as needed. Performs management of Supplier part lead times, safety stock, expedites, Supplier Change Notifications (SCNs) and supplier collaboration of delivery reschedules. Collaborates with Planning, Quality, Engineering, Manufacturing teams and Suppliers on material quality issues. May facilitate virtual meetings, publish notes/actions. Collaborates with Sourcing, used SAP material settings and executes purchase orders to optimize pricing tiers, minimum order quantities, supplier capacity plans. Coordinates with supplier, Quality and Warehousing on RMA return to vendor actions including repair and refurbishment. Works with a PLM (Product Lifecycle Management) system with access to specifications, part diagrams, work instructions, etc.. Works with Reliance / ETQ quality management system, actions assignments, documents changes. Responsible for procurement business system data input and integrity, is champion for Suppliers using our Ariba B2B solutions, portals and collaboration tools. Ensures accuracy of confirmed delivery dates for materials on our SAP system and negotiates with suppliers as necessary to expedite or push out deliveries. Drives on time delivery, inventory turnover, requisition conversion and other key performance indicators (KPIs) for the assigned suppliers. Secures part certifications as appropriate from suppliers for successful global distribution of spare parts. May recommend cost saving proposals to suppliers in collaboration with Sourcing teams. Requirements: Experience in Global suppliers and stakeholder management SAP ECC MM module and MRP knowledge Ariba SCC knowledge preferred Thorough knowledge of direct procurement, vendor relations, and inventory management Familiar with GMP s, product specifications incoming inspection procedures Effective verbal and written communication, analytical and interpersonal skills Strong problem solving, organizational skills, detail oriented. Strong influencing and negotiating skills Strong Knowledge of Microsoft Excel and Outlook required Willingness to work in shift to support US Region (No night shift required) All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. Experience/Education: Typically requires a minimum of 3-5 years of related experience with a Bachelor s degree; or 2 years and a Master s degree; or a PhD without experience; or equivalent work experience We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. . To learn more, visit: https: / / www.dol.gov / ofccp / regs / compliance / posters / pdf / eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

Role & responsibilities Drive revenue and growth across assigned product portfolios including instruments, services, and consumables. Achieve quarterly and annual sales targets through strategic planning and execution. Develop and implement robust account plans and regional strategies to grow market share. Build and maintain strong relationships with key stakeholders including scientists, researchers, and procurement teams. Analyze market trends, identify opportunities, and provide regular feedback to the management team. Represent Inventa Systems in a professional and customer-centric manner, ensuring brand consistency and customer satisfaction Collaborate closely with internal teams to ensure timely delivery, installation, and after-sales support. Travel across the South Gujarat territory for client meetings, demonstrations, and follow-ups. Preferred candidate profile Bachelors or Masters degree in Life Sciences, Biotechnology, Biochemistry, or related scientific discipline. Minimum 3 years of proven sales experience in life sciences, molecular biology, or genetic sciences products. Demonstrated ability to meet or exceed sales targets in a competitive market. Excellent communication, negotiation, and presentation skills. Strong analytical thinking and market research abilities. Self-motivated with the ability to work both independently and in a team setting. Willingness to travel extensively within the assigned territory.

Key Responsibilities: Apply deep domain knowledge in structural biology to characterize macromolecular complexes and understand their roles in disease pathways. Integrate structural insights with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to understand molecular mechanisms of disease. Utilize and develop computational tools for structural modeling, molecular dynamics simulations, and ligand docking to complement experimental data. Stay up to date with the latest advancements in structural biology, biophysics, and computational methods to incorporate cutting-edge research into disease modeling efforts. Collaboration & Project Management: Work closely with cross-functional teams, including disease domain experts, computational scientists, and clinicians to enhance translational research efforts. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators. Publish research findings in high-impact, peer-reviewed journals. Present work at scientific conferences, symposia, and internal research meetings. Contribute to grant applications and funding proposals where relevant. Qualifications & Experience: PhD in structural biology, biophysics, biochemistry, or a closely related field. Strong expertise in at least one major structural biology technique (e.g., X-ray crystallography, cryo-electron microscopy (cryo-EM), NMR spectroscopy). Solid understanding of protein structure-function relationships, macromolecular interactions, and their relevance to disease biology. Experience in experimental design, data collection, data processing, and structure determination. Excellent verbal and written communication skills, with the ability to convey complex structural biology concepts clearly. Preferred: Experience with computational structural biology tools (e.g., Rosetta, AlphaFold, molecular dynamics software). Previous experience working in a multidisciplinary research environment. Familiarity with AI/ML approaches in structural biology or drug discovery. Other Considerations: Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance. Candidates with at least two years of postdoctoral experience in structural biology in either academia or industry will be hired as Scientists with opportunities for career advancement.

Oversee sales operations in assigned region, driving growth and market share in diagnostics and oncology products. Manage team of sales professionals and build relationships with healthcare providers.