Sunday, May 17, 2026

Faculty Positions at Trichy

 Adv.date : 14th May 2026


Faculty position at Gautam Buddha University Greater Noida, Gautam Budh Nagar, U.P.-201312

 

Gautam Buddha University 
Greater Noida, 
Gautam Budh Nagar, 
U.P.-201312 

ADVERTISEMENT No.: GBU/Admn./2026/02 Dated: 28th April, 2026 

Recruitment of Assistant Professor (On Contract for Fixed Duration) Session 2026-2027

Gautam Buddha University invites applications for Assistant Professor on contract for fixed duration (OCFD) for 2026-27 in following Schools: School of Humanities & Social Sciences, School of Information and Communication Technology, School of Engineering, School of Vocational Studies & Applied Sciences, School of Law, Justice and Governance, School Biotechnology, and School of Management. Interested candidates may send their applications in the prescribed format only through Speed Post/Registered Post/Courier only addressed to "The Registrar, Gautam Buddha University, Greater Noida, Gautam Budh Nagar-201312 (UP) India" on or before 28th May, 2026 by 5:30 PM. 

Details of required Subject, Specialization, Qualifications, Experiences, No. of Positions, Remuneration & Application Form are as follows: 

B. School of Biotechnology:

09 - Biotechnology and allied areas such as Bioprocess Engineering, Biochemistry, Microbiology, Cell biology and Genetics, Bioinformatics and Computational biology etc. 

3 - Forensic Science

More Info: https://www.gbu.ac.in/Content/gbudata/jobs/UpdatedAdvt-Asst-Prof-OCFD.pdf

Wednesday, May 13, 2026

Fungal / Microbiology Specialist at Vitaliz Biosciences Pvt Ltd Chalai, Kerala

 

Vitaliz Biosciences Pvt Ltd 
Chalai, 
Kerala 

Fungal / Microbiology Specialist – Cordyceps Isolation 

Postion Overview: This position involves managing fungal culture, mushroom and Cordyceps spawn production, routine microbiological analysis, media preparation, aseptic handling, in-process microbiology, and supporting lab-to-production scale-up. The candidate will maintain equipment under QA standards, ensure batch quality, and collaborate across teams with accurate documentation.  

Key Responsibilities: 

1. Prepare mother spawn for commercial mushroom production. 
2. Prepare media for Agaricus bisporus (PDYA, MEYA, NA, MEA, etc.) and perform sterilization. 
3. Prepare different mushroom spawn types (paddy straw, milky, oyster, cordyceps). 
4. Conduct routine microbiological analyses and monitor contamination, moisture, and pH. 
5. Perform basic culturing and aseptic handling. 
6. Review samples and ensure timely analysis. 
7. Independently perform and report microbial identification and results interpretation. 
8. Execute in-process microbiology tasks. 
9. Maintain laboratory equipment under QA guidelines. 
10. Prepare volumetric solutions, media, and buffers. 
11. Ensure accurate documentation and record-keeping. 
12. Provide technical support to other departments. 
13. Ensure batch success and compile data/reports.  

Responsibility and Decision-Making Authority:  Empowered to make decisions, and authority to make cross functional decisions in partnership with peers of other functions. 

Qualifications:  M.Sc. or Ph.D in Microbiology / Mycology with at least 3 years of relevant lab experience 

Experience: Minimum 3 years in a Microbiology laboratory or applied microbiology role  

Travel:  Ability to travel as required by role. 

Location: Bio 360 Lifesciences Park, Thiruvananthapuram, Kerala  

Remuneration: As per industry. Will consider higher for deserving candidates  

Job Type: Full-time  Pay: ₹350,000.00 - ₹480,000.00 per year  

Benefits:  Health insurance Paid time off Provident Fund 

Application Question(s):  Are you currently located in or willing to relocate to Trivandrum? 
Do you hold a Ph.D. in Mycology, Microbiology, Biotechnology, or a related Life Sciences field? If yes, please specify your specialization. How many years of post-PhD or relevant research/industry experience do you have? Do you have hands-on experience in fungal culture, isolation, and characterization? Please briefly describe. 
Have you isolated Cordyceps culture? What is your current CTC and expected CTC? 
What is your notice period or earliest joining availability?

More Info

Tuesday, May 12, 2026

Scientist, Biomarker Analysis at Amgen Hyderabad Telangana

 

Amgen 
Hyderabad
Telangana

Scientist, Biomarker Analysis 

Join Amgen’s Mission of Serving Patients At Amgen, our mission to serve patients living with serious illnesses drives everything we do. As Amgen expands its technology and innovation presence in Hyderabad, this role will be pivotal in delivering high-quality translational analytics to accelerates drug development through rigorous science, data, and responsible AI.  

Role Summary The Biomarker Analysis Scientist will play a critical role in advancing translational and reverse-translational insights from clinical trial data across Amgen’s global portfolio, including Oncology, Inflammation, Rare Disease, Cardiovascular & Metabolic, and Obesity & Related Diseases. This role is embedded within the Computational Biology and Translational Analytics function in Precision Medicine and is expected to operate with a high degree of scientific independence, technical depth, and cross-functional influence.  

The successful candidate will be experienced with analytics within the drug development lifecycle and will design and execute rigorous biomarker and translational analyses using complex, high-dimensional clinical datasets, integrating multi-omics, imaging, and clinical metadata to support decision-making across early and late-stage development programs. This position requires strong biological intuition, advanced quantitative expertise, and the ability to communicate clearly and effectively with global, matrixed stakeholders.  

This role is based at Amgen’s India site in Hyderabad and operates as part of a globally integrated Precision Medicine organization.  

Key Responsibilities 

Design, execute, and interpret biomarker and translational analyses to support clinical development programs, including target engagement & stratification, pharmacodynamic modeling, patient stratification, mechanism of action validation, indication selection, and benefit–risk assessments. 
Develop and apply robust analytical workflows for high-content, multi-modal clinical data, including bulk and single-cell genomics, transcriptomics, proteomics, metabolomics, epigenomics, spatial omics, imaging, and emerging assay modalities. 
Translate complex biological and clinical questions into quantitative analysis plans, statistical models, and computational frameworks that generate actionable insights. 
Integrate internal clinical trial data with external datasets (e.g., public omics resources, real-world data, literature-derived knowledge) to contextualize findings and inform program strategy. 
Contribute to portfolio-level analyses and cross-asset learnings through principled data mining, visualization, and knowledge discovery approaches. 
Partner closely with biologists, clinicians, assay scientists, and data engineering teams to ensure analytical rigor, data quality, and scientific relevance. 
Clearly communicate analytical approaches, assumptions, limitations, and conclusions to diverse audiences through written reports, presentations, and cross-functional forums. 
Operate effectively in a global, matrixed environment, including regular collaboration across time zones with US- and EU-based teams. Strategically leverage AI to enhance speed, accuracy and insightfulness of results, maximally integrating relevant findings in the public domain. 

Basic Qualifications Doctorate degree with 3+ years of relevant scientific experience OR Master’s degree with 5+ years of relevant scientific experience OR Bachelor’s degree with 7+ years of relevant scientific experience 

Preferred Qualifications 

Candidates are expected to demonstrate most of the following:  

Scientific & Technical Expertise  

PhD (or equivalent) in Bioinformatics, Computational Biology, Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative discipline from a well-regarded institution 
Demonstrated experience analyzing complex, large-scale biological and clinical datasets, including multi-modal and longitudinal data 
Strong grounding in statistical modeling and methods (e.g., regression, mixed-effects models, multivariate methods, correlative and causal analysis, prognostic and predictive biomarker analysis farmeworks) and experience applying these methods in a translational or clinical context.
Working knowledge of machine learning and AI methodologies, with practical experience applying them to biological or clinical data; experience in clinical trial settings is strongly preferred. 
Familiarity with clinical biomarker platforms and data types, such as NGS, flow cytometry, IHC, immunoassays, imaging, and transcriptional profiling. 
Proficiency in R and Python and version control (e.g. gitlab), with evidence of writing clear, reproducible, and maintainable analytical code; familiarity with modern data science ecosystems (e.g., tidyverse in R and equivalent libraries in python) and best practices in reproducible research. 

Translational Impact & Industry Experience  

Proven ability to connect molecular-level findings to clinical hypotheses and development decisions. 
Experience supporting drug development programs in a biotech or pharmaceutical setting (typically 3+ years). 
Working knowledge of assay development, validation, and qualification considerations for clinical trial support. 
Evidence of independent scientific contribution through peer-reviewed publications in reputable journals. Collaboration, Communication & Global Mindset  
Excellent written and spoken English communication skills, with the ability to explain complex analyses clearly to non-computational stakeholders. 
Demonstrated experience working effectively with global teams and stakeholders across geographies and time zones. 
Willingness and ability to operate flexibly across time zones to support global programs. 
Strong interpersonal skills characterized by intellectual humility, adaptability, curiosity, and a proactive approach to collaboration. 
Ability to think critically and creatively, ask clarifying questions, challenge assumptions constructively, and pivot analytical approaches as program needs evolve. 

What Differentiates Top Candidates Clear evidence of end-to-end ownership of translational or biomarker analyses in clinical programs. Strong applied statistical background. 
Demonstrated impact on development decisions rather than purely methodological contributions. 
A track record of thriving in complex, ambiguous environments and driving alignment across scientific and technical teams. 
Experience working in or with large, global pharmaceutical organizations. 
This position offers the opportunity to contribute meaningfully to Amgen’s global development portfolio while helping to establish and grow a high-impact Precision Medicine capability at Amgen India.

Monday, May 11, 2026

Bioinformatics Analyst at Dual Life Science Pvt Ltd Surat Gujarat

 

Dual Life Science Pvt Ltd 
Surat
Gujarat 

Bioinformatics Analyst 

Pay ₹3,38,622.60 - ₹9,39,196.75 

Responsibilities:  

Analyze biological data such as genomic, transcriptomic, and proteomic datasets 
Develop and implement bioinformatics pipelines and workflows 
Perform sequence alignment, variant analysis, and data interpretation 
Manage and organize large-scale biological datasets 
Collaborate with research, laboratory, and clinical teams 
Generate reports, visualizations, and summaries of findings Maintain databases and ensure data accuracy and integrity Stay updated with latest bioinformatics tools, technologies, and scientific advancements 

Required Skills & Qualifications:  

Bachelor’s / Master’s / PhD in Bioinformatics, Biotechnology, Computational Biology, or related field 

Strong knowledge of molecular biology and genetics Proficiency in programming languages such as Python, R, or Perl Experience with bioinformatics tools (e.g., BLAST, FASTA, genome browsers) Familiarity with NGS (Next-Generation Sequencing) data analysis 
Knowledge of databases like NCBI, Ensembl, UCSC Genome Browser Strong analytical and problem-solving skills 

More Info

Sunday, May 10, 2026

Microbiologist at Briyosis Softcaps Pvt Ltd Jarod, Vadodara Gujarat

 

Briyosis Softcaps Pvt Ltd 
Jarod, Vadodara
Gujarat 
Microbiologist 

Pay ₹13,000.00 - ₹18,000.85 a month

Job Description: Microbiologist (Fresher / Experienced)  

Position: Microbiologist (Fresher / Experienced) 

Department: Quality Control – Microbiology Industry: Pharmaceutical 

Job Type: Full-time, Permanent 

Work Location: In person 

Job Summary:  

A Microbiologist will be responsible for performing microbiological testing of raw materials, in-process samples, and finished products to ensure compliance with quality standards. The role involves maintaining laboratory practices, documentation, and adherence to GMP, GLP, and safety norms. Freshers will be trained, while experienced candidates will independently handle testing and documentation. 

Job Roles and Responsibilities:  

Perform microbiological analysis of Raw Materials (RM), In-process samples, and Finished Goods (FG) 
Carry out environmental monitoring (air, water, surface, personnel monitoring) 
Prepare and sterilize culture media and reagents Conduct tests like bioburden, microbial limit test, sterility test (as applicable) 
Maintain aseptic conditions in the microbiology lab 
Follow and ensure compliance with GMP, GLP, and ISO guidelines 
Operate and maintain microbiological instruments (autoclave, incubator, laminar airflow, etc.) 
Maintain accurate documentation of all test results and records 
Handle investigations, deviations, and OOS (Out of Specification) cases (for experienced candidates) 
Ensure lab safety and cleanliness compliance 

Required Skills:  

Knowledge of Microbiology techniques 
Understanding of GMP/GLP practices 
Good documentation and analytical skills 
Ability to work in a team environment 

For experienced candidates: hands-on experience in QC Microbiology 

Qualification:  B.Sc / M.Sc in Microbiology / Life Sciences / Biotechnology 

Experience: 0–3 years in pharmaceutical QC Microbiology 

Benefits:  Provident Fund Leave Encashment Training & Career Growth Opportunities 

 Benefits:  Provident Fund 

More Info

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