80 Computational Biology Jobs

Computational Biologist - MS / PhD Full Time Opportunity Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Designation: Computational Biologist Full Time Opportunity Job Description: - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Edufabrica is inviting proficient experts in Advanced Bioinformatics to join as trainers for the upcoming 2-Day Offline Workshop at IIT Bhubaneswar. As a trainer with Edufabrica, you will have the opportunity to train, mentor, and inspire enthusiastic learners in the field of Advanced Bioinformatics. What We Offer: - Stipend of 8,000 for 2 days - Stay, Food & Travel fully covered by Edufabrica - Opportunity to work with a reputed ed-tech brand conducting workshops across top IITs, AIIMS & premier institutes - Exposure to industry-ready knowledge sharing and networking opportunities Who We're Looking For: - Strong expertise in Advanced Bioinformatics, including Genomics, Proteomics, Structural Bioinformatics, Computational Biology, NGS, Molecular Data Analysis, etc. - Ability to deliver interactive, hands-on sessions with real-world case studies and applications - Passion for teaching, mentoring, and engaging with students in cutting-edge biosciences Why Join Us Edufabrica believes in empowering learners through industry-ready knowledge sharing. By collaborating with us, you can contribute to the future of bioscience research and build your professional presence in academia and industry. This is an excellent opportunity to make a difference in the field of Advanced Bioinformatics. Venue: IIT Bhubaneswar Interested trainers can send their CV/Resume to: edufabricaofficial@gmail.com. For more details, please contact +91-9354823927 or +91-1147041565.,

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 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 Role Accountabilities 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. 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) Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Interested candidates should submit their resume and a cover letter outlining their relevant experience and qualifications

You are invited to apply for the position of Senior Project Assistant in an ICMR-Funded Extramural Research Project focused on Designing and Developing Peptide-based Novel Therapeutics. This is a temporary role that is co-terminus with the project and involves conducting in silico, in vitro, and in vivo studies. We are looking for candidates with an M.Sc/M.Tech or equivalent degree in Biophysics, Biochemistry, Biotechnology, computational biology, bioinformatics, or computational natural sciences, along with a strong academic background. Preference will be given to individuals who have qualified UGC/NET/SLET/GATE or similar National level examinations. The ideal candidate should be proficient in various biochemical and spectrophotometric assays, cell culture, molecular biology techniques, and routine lab experiments. Additionally, familiarity with molecular modeling software, biomolecular simulations, bioinformatics, and Python programming is essential. Strong verbal and writing skills are necessary for effective communication. Candidates with research interests aligned with biological systems, molecular biology, bioinformatics, computational biology, or biophysics are encouraged to apply. The benefits and relaxations offered for this position are as per the revised ICMR and Panjab University Norms. To apply for the position of Senior Project Assistant, please email your updated CV to kaushalnaveen@gmail.com. Join us in this exciting opportunity to contribute to innovative research in the field of peptide-based therapeutics. #hiringnow,

Associate Scientific Editor About our Team: Our STMJ (Science, Technology, and Medical Journals) team publishes high-quality, peer-reviewed research that drives progress across scientific and medical disciplines. We collaborate closely with authors, editors, reviewers, and societies to ensure the integrity and impact of the published work. Through innovation in editorial workflows and publishing technology, we help global research communities discover, evaluate, and disseminate knowledge that advances science and improves lives. About the Role: Are you passionate about sharing accurate and valuable research results for the benefit of science, society, and the authors. If so, we have the perfect opportunity for you as an Associate Scientific Editor focusing on our medical science sections in an open access journal (part of Cell Press). We are looking for a scientist with a broad academic interest in medical science who is keen on supporting scientists to publish their research in effective ways. This job offers a unique opportunity to start your editorial career with an exciting journal, which you can help shape and develop to ensure its scientific and commercial success. Responsibilities: Key responsibilities will include: Actively managing the publication process of assigned manuscripts in a growing open access journal Actively working with the team to develop the journal's processes and content Building effective working relationships with colleagues across Cell Press and Elsevier You will also have the opportunity to be a stakeholder in innovative Cell Press and Elsevier initiatives that shape the future of science communication. This is a full-time editorial position based in our Chennai office. In future, this position may require travel to conferences to engage with researchers. Requirements: What you should bring: A relevant doctoral degree in the medical science (PhD / MD) Deep knowledge and research experience in infectious diseases/cancer research/pharmacology and toxicology, and a willingness to learn about and work on the other sections like immunology, microbiology, bioinformatics and computational biology etc. Knowledge/experience in medical ethics/study design/trial registration will be an added advantage. Broad scientific interests and a passion for helping scientists publish their work. Strong organizational skills, and the ability to prioritize, focus, and achieve desired goals. Creativity, decisiveness, attention to detail, willingness to experiment, and a continuous improvement mindset. Customer-focused and attentive with good written and verbal communication skills in English. Excellent interactive and team working skills as well as the ability to work independently. Emphasis on quality and monitoring of all aspects of day-to-day publishing operations and actively address improvements where required. Work in a way that works for you: We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: . Comprehensive Health Insurance: Covers you, your immediate family, and parents. . Enhanced Health Insurance Options: Competitive rates negotiated by the company. . Group Life Insurance: Ensuring financial security for your loved ones. . Group Accident Insurance: Extra protection for accidental death and permanent disablement. . Flexible Working Arrangement: Achieve a harmonious work-life balance. . Employee Assistance Program: Access support for personal and work-related challenges. . Medical Screening: Your well-being is a top priority. . Modern Family Benefits: Maternity, paternity, and adoption support. . Long-Service Awards: Recognizing dedication and commitment. . New Baby Gift: Celebrating the joy of parenthood. . Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. . Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. . Free Transport pick up and drop from the home -office - home (applies in Chennai) About the business: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress. ----------------------------------------------------------------------- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. .

Job Title: Area Manager Sales and Marketing (Genomics & Molecular Biology) Location: New Delhi, India Experience: 2-5 yrs Company: CellSeq Solutions LLP Company Description CellSeq Solutions LLP is a leading Life Science company with a vision to become the world's top organization in our field. Located in the vibrant heart of Delhi, India, CellSeq Solutions specializes in genomics, providing access to clinical and phenotypic information that offers deep insights at the genetic and molecular levels. Our innovative work supports groundbreaking research in various Life Sciences. Job Description: We are seeking a dynamic and result-oriented Area Manager – Sales and Marketing (Genomics & Molecular Biology), with hands-on experience in genetic, molecular biology, and genomics-based products . The ideal candidate will have strong connections or prior working experience with key institutions like Delhi University, IP University, Jamia Hamdard , or similar research and medical organizations. Key Responsibilities: Drive sales and marketing of genomic, molecular biology, and life science products in assigned territory. Identify and develop new business opportunities in hospitals, research institutes, diagnostics labs, and biotech companies. Engage and build relationships with researchers, clinicians, lab heads, and procurement departments. Demonstrate technical knowledge and product value to potential clients through presentations, seminars, and field visits. Manage pre-sales inquiries, post-sales support, and customer satisfaction. Work closely with internal product, logistics, and support teams to ensure timely delivery and service. Maintain accurate records of customer interactions, sales activities, and forecasts using CRM tools. Support marketing initiatives including LinkedIn campaigns, webinars, and scientific events. CellSeq Solutions LLP. Required Skills & Qualifications: B.Sc./M.Sc. in Biotechnology, Genetics, Molecular Biology, or related life science disciplines 2–5 years of proven sales experience in genomics, PCR kits, sequencing reagents, or related molecular biology tools Strong understanding of research workflows and procurement processes in institutions like Delhi University, IP University, Jamia Hamdard , etc. Excellent communication, negotiation, and interpersonal skills Willingness to travel and meet customers on field regularly Knowledge of government e-marketplace (GeM) sales will be an added advantage Preferred Candidate Profile: Prior experience selling to or working at Delhi University, IP University, NICPR, Apollo & Fortis Hospital, Jamia Millia Islamia, Jamia Hamdard University or similar institutions Established client base or network within major hospitals/research institutions in North India Technical understanding of genomics platforms (qPCR, NGS, microarray, etc.) Send your resume at “ ritesh@cellseq.in”

The School of Computing at Amrita Vishwa Vidyapeetham, Amaravati Campus is seeking applications from qualified candidates for the position of Assistant Professor in the Department of Computer Science Engineering. We are looking to fill 17 vacancies for this role. The job location is in Amaravati, Andhra Pradesh. The selected candidate must meet the qualification criteria as per AICTE norms. The ideal candidate should specialize in various research areas related to Computer Science, such as Artificial Intelligence and Machine Learning, Data Base systems, Data Science, Big Data Analytics, Cyber security, Internet of Things, Software Engineering, Emerging Technologies, Human-Computer Interaction, Computer Networks, High-Performance Computing, Bioinformatics, Computational Biology, Theoretical Computer Science, and Systems and Architectures. Responsibilities include conducting research in Computer Science, teaching and mentoring students in undergraduate and graduate programs, collaborating with academia and industry on research projects, publishing research findings in reputable conferences and journals, contributing to the academic and research community, offering project-based courses for undergraduate students, guiding Ph.D. scholars, and participating in various Academic Administrative committees. The successful candidate should possess strong fundamentals in Computer Science and Engineering, excellent mathematical and programming skills, demonstrated research experience in relevant areas, a track record of taking initiatives and driving projects, good communication and interpersonal skills, the ability to work effectively in a team and collaborate with colleagues, and a commitment to upholding the values and mission of the department and university. This position falls under the teaching job category and the deadline to apply is June 30, 2025. For further details, please contact hrd@amrita.edu.,

The Friedrich Miescher Institute for Biomedical Research (FMI), located in Switzerland, affiliated with the University of Basel, is looking for a dedicated postdoctoral researcher to join the team led by Dr. Guillaume Diss. The focus of the research is on advancing generative models for protein-protein interactions, specifically exploring how protein sequence influences interaction affinity and specificity through the utilization of deep mutational scanning data and cutting-edge artificial intelligence techniques. As a prospective candidate, you should hold a PhD in Biology, Physics, Computational Sciences, or a related discipline. You are expected to have a solid background in deep learning, with expertise in biophysics and thermodynamics. A track record of publications demonstrating your research capabilities is essential. Proficiency in English communication and a collaborative spirit are highly valued traits for this position. Your main responsibilities will involve spearheading independent research projects related to modeling protein-protein interactions. You will collaborate with both internal and external AI and computational biology experts, analyze extensive datasets, and create deep-learning models inspired by thermodynamics. Moreover, your contributions to scientific publications in reputable journals will be pivotal in this role. In return, we offer a competitive salary package and benefits, along with access to cutting-edge research facilities. The position provides ample opportunities for your professional development and training within a dynamic, diverse, and inclusive research environment. To apply for this position, please submit your application online at www.fmi.ch/opening. Include a motivational letter, your Curriculum Vitae, and the contact details of three referees. Applications will be assessed continuously until the position is filled. For additional inquiries, feel free to reach out to Dr. Guillaume Diss at guillaume.diss@fmi.ch. Don't miss out on the latest job openings in your field and desired location. Sign up now for a 14-day free trial at https://phdfinder.com/register to receive personalized job alerts straight to your email inbox.,

You are a highly skilled and experienced Lead in Scientific Cloud Computing with over 10 years of experience in cloud computing, primarily focusing on AWS services. Your role involves leading and managing cloud computing infrastructure for scientific research projects, ensuring optimal performance, scalability, and security. You will design and implement AWS Cloud solutions for high-performance computing workloads, oversee the architecture of scalable solutions in AWS, and collaborate with research teams to translate scientific needs into technical solutions. As a Lead in Scientific Cloud Computing, you will implement, monitor, and optimize the performance of HPC clusters, provide technical leadership and mentorship to a team of cloud architects and engineers, and troubleshoot complex cloud infrastructure and performance issues. You are expected to stay updated with emerging cloud computing technologies and best practices, ensuring their proactive introduction to the team. Additionally, you will ensure best practices for cloud security, cost management, and performance optimization are followed across projects, working closely with clients in the life sciences domain to understand their specific needs and challenges. To qualify for this role, you must have proven expertise in designing and deploying cloud solutions for HPC, hands-on experience with AWS services such as EC2, S3, Lambda, ECS, RDS, and networking solutions, as well as a strong background in optimizing and managing HPC clusters in cloud environments. Experience in automating cloud infrastructure using scripting languages and infrastructure-as-code tools, along with a deep understanding of cloud security best practices, is essential. You should possess excellent problem-solving, troubleshooting, and analytical skills, and the ability to mentor and guide technical teams in a collaborative and innovative work culture. Preferred qualifications include exposure to the life sciences domain, familiarity with scientific computing tools and libraries, advanced knowledge in containerization technologies, and experience with CI/CD pipelines and DevOps practices in cloud environments. If you believe you meet the requirements and are passionate about cloud computing and scientific research, please send your resume to jobs@360extech.com.,

As per the recent update from the School of Agricultural Biotechnology at Punjab Agricultural University (PAU) in Ludhiana, the interview for the position of Project Scientist-1 under the project "Application of Bioinformatics and Computational Biology in Agriculture BIC" has been postponed. This position offers a fixed salary of Rs. 56,000/- along with 16% House Rent Allowance (HRA). Originally advertised through notification no. 359-88 dated 25.04.2025 and 395 dated 13.05.2025, the deadline for application submission for the aforementioned post was 09.05.2025. The initial interview was scheduled for 20.05.2025 at 11:00 a.m. However, in light of unforeseen circumstances related to the Code of Conduct, the last date for submitting applications was extended to 26.05.2025. Consequently, the interview, which was rescheduled for 04.06.2025, has now been postponed. The new date for the interview process will be communicated through the PAU portal. For any further updates regarding this matter, applicants are advised to stay tuned to the official communication channels of Punjab Agricultural University. Thank you. Director School of Agricultural Biotechnology Punjab Agricultural University, Ludhiana,

The company Elucidata is a TechBio Company headquartered in San Francisco, with a mission to make life sciences data AI-ready. Elucidata's platform Polly, powered by LLM, assists research teams in managing and analyzing large volumes of biomedical data. The company is pioneering GenAI in life sciences R&D with leading BioPharma companies such as Pfizer, Janssen, NextGen Jane, and more. Elucidata was recognized as the "Most Innovative Biotech Company, 2024", by Fast Company and has a team of 120+ experts across the US and India. In September 2022, they raised $16 million in their Series A round led by Eight Roads, F-Prime, Hyperplane, and IvyCap. As a Senior Machine Learning Scientist at Elucidata, you will be responsible for developing advanced ML solutions to analyze complex biological datasets. This role presents an exciting opportunity to work at the intersection of machine learning and life sciences, enabling transformative insights from multi-omics and biomedical data. Your key responsibilities will include designing, implementing, and optimizing machine learning algorithms for analyzing biological data. You will also develop approaches to integrate diverse data types to derive meaningful biological insights. Staying updated with state-of-the-art ML methods and collaborating with bioinformaticians, data scientists, and domain experts will be essential to ensure seamless integration of ML models into workflows. Additionally, you will optimize and deploy ML models on cloud platforms for scalable analysis and collaborate on preprocessing, feature engineering, and quality control of large biological datasets. Qualifications for this role include a Masters or Bachelors degree with 3-4 years of experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or a related field. You should have a solid understanding of machine learning algorithms and statistical methods, proficiency in Python and ML frameworks, strong problem-solving skills, and excellent communication and interpersonal skills. Experience with cloud technologies and scalable computing platforms would be beneficial. Desirable qualifications include experience with biological datasets and applying ML to multi-omics data integration, familiarity with cloud technologies, biomedical ontologies, pathway analysis, or systems biology approaches, and a strong publication record in ML or bioinformatics journals.,

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Experience the power of DNA Eurofins Genomics is part of Eurofins Scientific Group, an international provider of genomic services established around the core business lines of next generation sequencing, custom DNA sequencing, oligonucleotides, siRNA and gene synthesis. The company's main mission is focused on customer convenience and high quality services in industrial scale for the life science industries and academic research institutions around the world. Eurofins Genomics India corporate office is located in Bangalore with a 14000 sq.ft. with a state-of-the-art infrastructure having more than sixty highly qualified, trained and skilled scientific resources, production facility, data analysis par excellence expertise and quality of products and services. Our NGS projects are being delivered using advanced Illumina NextSeq500 platform, HiSeq2500, MiSeq, PacBio sequel with high performance computational infrastructure. Eurofins Genomics India's expertise and experience in the field of genomics has helped us to gain a solid reputation as a provider of high quality DNA/RNA oligonucleotides, NGS, Gene synthesis and Sequencing services to the top life science industries, research Institutes and academic research institutions across India and covering more than 6000 customers. The laboratory and production facility has established profound know-how and proprietary protocols to cover a broad range of applications. Our production facility is ISO 90012015 certified, which ensures you get the highest quality of products and services. Eurofins Genomics India's prime goal is to provide its customers with high-quality services, accurate results in fast turnaround time. We make our best effort to exceed our customer's expectations and help them in achieving their research goals in a cost-effective and quick way. With over 30,000 staff in over 375 laboratories across 41 countries, Eurofins Scientific is the world leader in food, environment, genomics and pharmaceutical products testing. It is also one of the global market leaders in agroscience, genomics, discovery pharmacology, and central laboratory services. In addition, Eurofins is one of the key emerging players in specialty Clinical Diagnostic testing in Europe and the USA. -Should have experience in NGS data analysis, such as WGS, RNASeq, Small RNA, Metagenome (16S, ITS, Whole metagenome), QTLseq, Exome, etc. -Should also have good programming skills in python, PHP,J Query, MySql. -Implement and execute data processing workflows and automate the pipelines. -Manage project timelines and deliverables. -Develop NGS pipeline for analysis and interpretation of NGS data Qualifications MSc or M.Tech/PhD in bioinformatics Additional Information Monday to Friday workings

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

The candidate will undergo a self-financed job-oriented patent analyst training at the Indian Institute of Patent and Trademark. On successful completion of the training, they will be placed for full-time patent analysis in the pharmaceutical domain. Required Candidate profile Scientific and Analytical Thinking Eager to work in drugs and formulation Candidates must have sound knowledge about the subjects they study in Graduation

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Join us and contribute to the discovery of medicines that will impact lives! Aganitha is accelerating drug discovery and development for Biopharma and Biotech R&D with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Aganitha, which means countless or limitless in Sanskrit, serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless! Key Responsibilities - Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development. - Specifically looking for Ph.D. & Postdoc candidates who can contribute to disease studies, target identification, uncover mechanisms of action, and patient population stratification using various technologies such as Single-cell multi-omics, Whole genome sequencing, Proteogenomics, and High-throughput pre-clinical experimentation datasets. - De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI. This includes Antibody engineering, RNA design and optimization, and Viral Vector optimization for advanced cell and gene therapies. - Analysis and optimization of bio-synthesis reactions using AI/ML and computational modeling of underlying cellular processes. Educational Qualifications - Ph.D. candidates in Computational biology or related field.,

You will be a Senior Machine Learning Scientist responsible for developing advanced ML solutions to analyze complex biological datasets. Your role will involve designing, implementing, and optimizing machine learning algorithms for various biological data types including genomics, transcriptomics, mass spec, and imaging datasets. You will also be tasked with integrating diverse data types to extract meaningful biological insights. To excel in this role, you need to stay updated with the latest ML methods and their applications in life sciences to propose innovative solutions. Collaboration with bioinformaticians, data scientists, and domain experts is essential to ensure seamless integration of ML models into workflows. Additionally, you will optimize and deploy ML models on cloud platforms for scalable analysis and contribute to preprocessing, feature engineering, and quality control of large biological datasets. The ideal candidate should hold a Masters or Bachelors degree with 3-4 years of experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or related fields. A solid understanding of machine learning algorithms, statistical methods, and proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn is required. Strong problem-solving skills and the ability to interpret complex biological data are essential. Excellent communication and interpersonal skills are necessary to work effectively in a collaborative environment. Experience with biological datasets, cloud technologies (AWS, GCP, Azure), and scalable computing platforms is preferred. Additionally, familiarity with biomedical ontologies, pathway analysis, or systems biology approaches, as well as a strong publication record in ML or bioinformatics journals, would be advantageous for this role.,

You will be working for one of ANSR's clients, Illumina, a renowned developer, manufacturer, and marketer of life science tools and integrated systems dedicated to making genomics useful for all. Illumina's integrated Indian global hub in Bengaluru, Illumina India Biotechnology Private Limited, focuses on technology activities that drive innovation in healthcare and medical research to shape the future of personalized medicine and health care. As a Data Scientist at Illumina, you will collaborate with cross-functional teams of scientists, engineers, and bioinformaticians to analyze complex biological data, develop advanced models, and deliver actionable insights. Your work will support initiatives across genomics, clinical applications, and product development, contributing to Illumina's research, development, and commercial objectives. Your responsibilities will include designing, developing, and implementing statistical models and machine learning algorithms, partnering with internal teams to define project goals, applying data mining techniques, evaluating model performance, collaborating with software engineers for deployment, communicating findings to stakeholders, staying updated with data science trends, and contributing to publications and dissemination of results. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Engineering, or a related field. A Master's degree or Ph.D. is preferred. You should have experience working with large datasets, proficiency in programming languages like Python, R, or Julia, familiarity with cloud computing platforms and data warehousing solutions, and excellent communication skills. Preferred qualifications include a Master's degree or Ph.D. in a relevant field, hands-on experience with genomic data analysis, contribution to open-source projects, experience in regulated environments, and a background in healthcare, life sciences, or biotechnology industry. Key skills and competencies for this role include a strong foundation in statistics and experimental design, expertise in machine learning techniques, ability to work in regulated environments, proficiency in data cleaning and preprocessing, collaborative work approach, and innovative thinking to apply data science solutions to real-world challenges. The ideal candidate will have a Bachelor's degree and a minimum of 2 years of related experience, or an advanced degree without experience, or equivalent work experience.,

As a Bioinformatics Technical Lead at our organization, you will be responsible for driving our computational biology initiatives. With at least 6-8 years of industry or academic experience, holding a PhD or Masters in a relevant field, you will have a demonstrated track record in developing and refining high-throughput pipelines for various omics data types, such as RNA-seq, methylation, and new NGS modalities. This role requires a high level of technical expertise, creativity, and the ability to innovate novel computational algorithms. You will have the opportunity to collaborate directly with distinguished professors from prestigious institutions like MIT, Caltech, Harvard, and others. While primarily functioning as an individual contributor, you will guide a small team of 24 highly qualified bioinformaticians in a technical capacity, focusing on pipeline development, optimization, and algorithmic enhancements. Your key responsibilities will include designing, implementing, and optimizing scalable, production-grade pipelines for NGS data analysis, ensuring reproducibility, efficiency, and accuracy of computational workflows. You will also be involved in developing and applying novel computational algorithms for gene expression profiling, variant calling, and other genomic analyses, as well as mentoring junior bioinformaticians and computational scientists. Collaboration with molecular biologists, data scientists, and software engineers will be essential in translating project goals into robust computational strategies. Maintaining high standards of data integrity, documentation, and version control, as well as implementing quality control checks and validation strategies, will also be part of your role. To qualify for this position, you should hold a PhD in Bioinformatics, Computational Biology, Computer Science, or a related field, or a Masters degree with significant experience. You must have 6-8 years of hands-on experience analyzing high-throughput NGS data, with a focus on RNA-seq, and a proven track record in developing production-level bioinformatics pipelines. Strong programming skills in at least one major language, familiarity with HPC clusters or cloud computing environments, and expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics are essential technical skills required. Preferred qualifications include experience working in a regulated environment, familiarity with workflow management systems, knowledge of containerization technologies, and a history of publications or patents in computational genomics or related areas. Soft skills such as the ability to work in a fast-paced, collaborative environment, strong problem-solving abilities, and the willingness to adapt to new technologies and methodologies will be beneficial in this role.,

Looking for a PhD/Project Position in ANRF-ECRG sponsored project to work on clear cell Renal Cell Carcinoma Single Cell Genomics project. Selected candidate may be enrolled for Ph.D. programme of NIT Rourkela following the Institute&aposs guidelines. Essential Qualification: M.Sc . or M.Tech with GATE/NET Experience: Prior experience in Bioinformatics/ Computational Biology/ NGS Data Analysis/ AI- ML in Cancer Genomics will be preferred. Date of interview: 07/08/2025 Show more Show less

The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the position of Assistant Professor / Associate Professor / Professor. Located in Kollam, Kerala, the department is looking to fill a total of 5 positions. The ideal candidates should hold a B.Tech, M.Tech, and Ph.D. in Computer Science & Engineering. Candidates with a Ph.D. or Post-Doc from a highly ranked (top 200) university will be given preference. Strong teaching experience, a robust research background, and graduation of PhD scholars are required for the Associate Professor and Professor roles. Research scholars who have submitted their PhD thesis are also encouraged to apply for the Assistant Professor position. Interested individuals with expertise in areas such as Robotics and Artificial Intelligence, Data Science, Cybersecurity & Networking, Parallel and Distributed Computing, Embedded Systems / Robotics, Computer Architecture and Specialization, Computational Biology, Computational Linguistics, Human-Computer Interface / Computer Graphics, Research in Speech / Signal Processing, Complex Networks / Knowledge Graphs / Web Analytics, Big Data Analytics, Cloud Computing, Web / Mobile / Game Development, and Theoretical Computer Science / Algorithms are invited to submit their C.V. with SCOPUS ID/ORCID and publication list to csjobs@am.amrita.edu. This position falls under the category of Teaching and the last date to apply is December 31, 2024. For further details, please contact csjobs@am.amrita.edu.,