Cell Biologist Job at AquSag Technologies (Noida)

Cell Biologist

The Cell Biologist is responsible for conducting laboratory research to study th...

Location

Salary:

Not provided

KGTiger

Expiration Date

Until further notice

Requirements

Ph.D. in cell biology, molecular biology, biochemistry, or a related field
Experience in cell biology research
Strong research and analytical skills
Excellent communication and writing skills
Ability to work independently and as part of a team
Strong attention to detail
Excellent problem-solving skills
Strong understanding of cell biology
Experience with laboratory techniques
Experience with statistical software

Job Responsibility

Conduct research on the structure of cells
Conduct research on the function of cells
Conduct research on the interactions of cells
Publish research findings in peer-reviewed journals
Present research findings at scientific conferences
Collaborate with other scientists
Stay up-to-date on the latest cell biology research

Evolutionary Cell Biologist

Location

United States of America , Emeryville

Salary:

Not provided

Arcadia Science

Expiration Date

Until further notice

Requirements

PhD
Full-time work experience after PhD
Experience with specific organisms/cell types
Experience conceiving and executing a project from beginning to end
Wet lab expertise
Ability to work onsite in Emeryville, CA
Eligibility to work in the United States of America

Fulltime

Evolutionary Cell Biologist

We are seeking an innovative and experienced Evolutionary Cell Biologist. Arcadi...

Location

United States , Emeryville

Salary:

130000.00 - 180000.00 USD / Year

Arcadia Science

Expiration Date

Until further notice

Requirements

Ph.D. or equivalent experience in Cell Biology, Molecular Biology, Biochemistry, or a related field
At least 1 year of full-time relevant scientific experience post-PhD
Demonstrated expertise in cell- or organism-based assay development, including design, execution, and optimization
Proficiency with core cell biology tools, with a particular focus on those that can gather large-scale, high-dimensional data (e.g., live cell imaging, spectroscopy, etc.)
Comfort working with diverse cellular organisms and systems
Experience with a range of molecular biology techniques, such as cloning, transformation, PCR, genetic manipulation, and protein detection
Ability to align team with organization-wide goals and organize effective collaborations
An excellent verbal and written science communicator for both general and technical audiences

Job Responsibility

Develop, adapt, and optimize experimental workflows to gather large-scale, high-dimensional phenotypic data using diverse cellular and organismal systems
Identify maximally informative measures for comparing cellular features across organisms
Conceptualize and prototype novel tools and methodologies to expand Arcadia’s capabilities in cell biology
Troubleshoot experimental challenges independently and creatively
Collaborate with cross-disciplinary teams to validate tools, contribute to shared research goals, and accelerate broader scientific efforts
Keep detailed experimental records and documentation (SOPs) for all workflows
Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work

What we offer

benefits
a highly competitive equity offering

Fulltime

Scientist - Molecular And Cell Biologist

We are seeking a molecular and cell biologist to join our team as a temporary as...

Location

United States , Research Triangle Park

Salary:

40.00 - 44.00 USD / Hour

MillenniumSoft Inc

Expiration Date

Until further notice

Requirements

B.A./B.S. in Chemistry, Biology, Biochemistry, Microbiology, Biotechnology, or related field
2+ year experience in cell/molecular biology laboratory environment (university or industry)
Prior experience in BSL2 environment required
Demonstrated expertise in cell culture
DNA isolation and QC required
Excellent attention to detail with an understanding of laboratory practices required
Learning agility and timely execution of tasks required

Job Responsibility

Adherence to all laboratory SOPs, including BSL2 procedures
Accurate and comprehensive documentation in LIMS/QA systems (GLP environment)
Mammalian cell culture
DNA and protein purification and characterization
Set-up and analysis of bisulfite conversion experiments
Set-up and analysis of qPCR assays
Handling of human clinical samples

Fulltime

Scientist, Biomarker Analysis

The Biomarker Analysis Scientist will play a critical role in advancing translat...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

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
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 frameworks)
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

Job Responsibility

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

Fulltime

Senior Director Translational Data Sciences

We are seeking an exceptional and ambitious scientific leader to serve as Senior...

Location

United Kingdom; Germany; United States , Stevenage; Heidelberg; Collegeville

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

Physical sciences (Maths, Computer Science, Physics, Chemistry, Engineering etc) or Biological sciences (Biology, Biochemistry, Bioengineering etc) undergraduate degree or Medical degree
PhD in data science, computer science, computational biology, bioinformatics, or a closely related discipline
Extensive experience spanning academic and industrial drug discovery environments, with a demonstrable record of leading high-impact computational biology programmes from conception through to application to drug discovery or development challenges
Prior line management experience and experience building and leading interdisciplinary teams across computational, experimental, and translational disciplines in both academic and industrial settings
Demonstrated experience structuring and managing strategic partnerships with academic institutions and companies, including contribution to alliance governance
Familiarity with the translational interface between target biology and clinical development
experience with adaptive clinical trial design and biomarker-driven patient stratification is highly desirable
Experience presenting to executive leadership, external partners, and international scientific audiences

Job Responsibility

Scientific Strategy: Develop and execute the Translational Data Sciences strategy, with accountability for portfolio-level outcomes across multiple therapeutic areas including respiratory, renal, hepatology, and immune-mediated disease
Data Sciences and AI: Leverage the potential of data sciences for pipeline progress through team leadership, collaboration across Translational & Developmental Sciences and application across therapy areas and the broader organisations across GSK including R&D Technologies and AIML
Partnership & Alliance Leadership: Establish and maintain high-value partnerships with leading academic laboratories, companies, and international consortia
Translational Integration: Work directly with R&D leadership to align computational strategy with clinical development priorities
Team Leadership: Build and mentor an interdisciplinary team of computational biologists, AI/ML engineers, and clinician-scientists and wet-lab scientists
Scientific Visibility: Contribute to the organisation's external positioning through publications, conference presentations, and academic collaborations

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes

Fulltime

Molecular Biologist

Join our team as a Molecular Biologist, specializing in CRISPR and gene editing,...

Location

India , Noida

Salary:

Not provided

AquSag Technologies

Expiration Date

Until further notice

Requirements

Expertise in CRISPR technology and gene editing workflows
Extensive hands-on experience with cloning, genotyping, and PCR-based assays
Strong background in sequence design and molecular screening strategies
Excellent written and verbal communication skills, with keen attention to scientific detail
Ability to research and analyze molecular and organelle functions within cells
Demonstrated commitment to data accuracy, workflow optimization, and experimental rigor
Self-driven and collaborative, with a track record of contributing to high-impact research projects
Bachelor’s degree or higher in Molecular Biology, Biology, or a related field

Job Responsibility

Lead the design, optimization, and execution of CRISPR-based gene editing experiments
Develop and implement cloning strategies to generate novel constructs and cell lines
Perform genotyping, PCR-based assays, and sequence analyses to validate genetic modifications
Design synthetic DNA/RNA sequences and contribute to screening logic for high-throughput workflows
Collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training
Apply molecular biology techniques to study and characterize molecules, organelles, and cellular organization
Document experimental procedures and results with exceptional clarity and precision, supporting reproducibility and knowledge transfer

Fulltime

Principal Computational Chemist

Join our Computational Drug Design Team to play a key role in the development an...

Location

Denmark , København

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

MSc or PhD in Computational Chemistry, Structural Biology, Chemistry or a related discipline, with a strong grounding in molecular modelling and drug discovery
Demonstrated experience applying structure-based drug design in an industrial or biotech setting to progress programs from hit finding through optimisation
Strong proficiency in Python and the ability to build, maintain and automate robust computational workflows for analysis and design
Willingness to provide high-impact scientific leadership across multiple projects and independently champion modeling strategies that drive critical project decisions

Job Responsibility

Define and lead the structure-based design strategy across macrocyclic peptide programs, aligning computational approaches with our platform goals
Drive macrocycle hit identification by applying structural modelling, co-folding and conformational analysis to prioritize molecules for synthesis and experimental testing
Guide approaches to address macrocyclic peptide flexibility, cell permeability prediction, and binding mode assessment
Integrate experimental structural data (X-ray, cryo-EM and NMR) with predictive models and molecular modeling tools to inform design hypotheses and accelerate design cycles
Communicate complex computational findings clearly to multidisciplinary stakeholders, translating analyses into actionable recommendations
Collaborate with machine learning colleagues to develop and deploy next-generation modelling and design tools that enhance nCycle program productivity
Partner closely with peptide chemists and biologists to drive data-informed macrocyclic library design and interpret experimental results
Represent the computational strategy in internal and external scientific discussions, contributing to project reviews, collaborations and publications

Fulltime

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Cell Biologist

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