6 Pymol Jobs

As a Data Visualization Engineer at Zoetis, Inc., you will be an integral part of the pharmaceutical R&D team, contributing to the development and implementation of cutting-edge visualizations that drive decision-making in drug discovery, development, and clinical research. You will collaborate closely with scientists, analysts, and other stakeholders to transform complex datasets into impactful visual narratives that provide key insights and support strategic initiatives. Your responsibilities will include designing and developing a variety of visualizations, ranging from interactive dashboards to static reports, to summarize key insights from high-throughput screening, clinical trial data, and other R&D datasets. You will work on implementing visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends, utilizing advanced visualization techniques and tools to create compelling visuals tailored to technical and non-technical audiences. Collaboration with cross-functional teams will be a key aspect of your role, as you partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs and translate scientific data into actionable insights. Additionally, you will be responsible for maintaining and optimizing visualization tools, building reusable components, and evaluating emerging technologies to support large-scale data analysis. Staying updated on the latest trends in visualization technology and methods relevant to pharmaceutical research will be essential, as you apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. You will also collaborate across the full spectrum of R&D functions, aligning technology solutions with the diverse needs of scientific disciplines and development pipelines. In terms of qualifications, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors is considered a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is required. Familiarity with data handling tools, omics and network tools, as well as dashboarding and 3D visualization tools, will also be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this position are minimal, ranging from 0-10%. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, and be part of our journey to pioneer innovation and drive the future of animal healthcare.,

Our client collaborates with some of the world’s leading AI research labs to build advanced language models that simulate expert reasoning. We are looking for experienced professionals in Biological Sciences, Bioengineering, Biomedical Engineering, Biochemistry, or Biophysics to join a unique AI training initiative. Position: Life Sciences & Biomedical Experts – AI Trainer Type: Hourly Contract (Remote) Compensation: $45–$75/hour Location: Fully remote & asynchronous Duration: 10–20 hrs/week, 1–2 months (extension possible) Role Overview As an AI Trainer, you will leverage your scientific expertise to help train advanced AI systems. You’ll develop prompts, validate AI-generated outputs, and simulate real-world scenarios to ensure technical accuracy and depth in life sciences and biomedical applications. Key Responsibilities Create high-quality prompts and responses reflecting real-world biological and biomedical workflows Validate AI-generated content for scientific accuracy and reasoning rigor Simulate scenarios across life sciences and biomedical domains Collaborate with AI researchers to improve model performance and domain alignment Ideal Qualifications ✅ Advanced degree (Master’s or PhD) in Biology, Molecular Biology, Biomedical Engineering, Bioengineering, Biochemistry, Biophysics , or related fields ✅ 3+ years of professional or research experience in one or more areas: Biological Sciences: Experimental design, molecular/cellular techniques, bioinformatics Biomedical Engineering: Device design, biosignal processing, clinical systems Biochemistry/Biophysics: Protein structure, enzymology, thermodynamic modeling ✅ Strong analytical skills and scientific writing ability ✅ Ability to review content for depth, rigor, and accuracy Preferred: Postdoctoral or industry experience in life sciences or medtech Familiarity with MATLAB, Simulink, PyMOL, GROMACS, PCR systems, or clinical instrumentation

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

🚀 We're Building the Future of Protein Visualization – Join Us for a 2-Month Residency! Hi folks, I'm Dhanush, and I'm on a mission to reimagine how scientists interact with proteins — using immersive technology like VR, WebXR, and 3D visualization . Think of it as the next-generation PyMOL meets Meta Quest. To make this real, I'm assembling a small, passionate team to build a working Proof of Concept (PoC) in 2 months . We’re offering free stay, food, and a creative space in Erode, Tamil Nadu — and an opportunity to work on a deep-tech product from day zero. 🛠️ We’re looking for: XR / WebGL / Unity Developer Skills: Three.js, WebXR, or Unity 3D Role: Render protein structures interactively in 3D or VR Bioinformatics Programmer Skills: Python, PDB, Biopython, PyMOL scripting Role: Parse and clean protein structure files for visualization 📦 What You’ll Get: Residency for 2 months (Stay + Food provided) Be part of a deep-tech founding team Work on a real-world scientific tool with global potential Certificate / Letter of Experience Possibility of future co-founder role or equity This is perfect for: Final-year students or fresh grads in CS, biotech, bioinformatics, or AR/VR Hackathon enthusiasts or GitHub tinkerers People who want to help researchers and solve real-world problems Residency Duration: 2 months (August–September) Location: Erode, Tamil Nadu Apply / DM me : Just send a short message with your background, links to past work (GitHub, portfolio, etc.), and why this excites you. Let’s build something revolutionary from a tier-2 town. #bioinformatics #webxr #vr #startup #proteinvisualization #founderteam #hiring #biotech #reactjs #unity3d #earlystage #residency

Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards Job Title: Scientist II Job Location: India, Bangalore About Company: About The Company Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies & Services makes it easier for customers. About Team: Antibody team The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use. Role & Responsibilities Role: To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular, protein, and cell biology methods. Responsibilities: Independent experimental planning and execution to meet program goals and schedules. Timely record keeping of results into data sheets and laboratory note-books. Regular mining of literature and keeping oneself up to date with developments in field of antibody development and protein biology. Ideate effectively to recommend improvements in product development and workflows. Compilation and presentation of data in written and oral formats to different audiences including stakeholders and leadership. Active participation in team meetings. Mentoring junior scientists and provide in-lab supervision. Candidate Requirement: Education & Experience levels: Applicants should have Masters with greater than 5 years relevant experience or PhD with greater than 2 years’ experience in a life sciences field with a strong focus on structural biology, protein design, protein purification, molecular biology, immunology, biotechnology or biochemistry. Nature of experience: Extensive experience and knowledge in protein purification and analysis technologies such as affinity or ion exchange chromatography, SEC, HPLC, and SDS-PAGE. Experience and knowledge of protein affinity measurement platforms. Familiar with working in a cell and molecular biology lab, with experience in assays for in vivo of protein expression, protein-protein interaction (using co-immunoprecipitation) or development of immunoassays. Proficiency in display-based antibody development techniques, demonstrating a strong track record of successful projects. Extensive experience and familiarity with antibody or protein engineering, rational design of mutants, and molecular biology. Experience with structural biology and protein modeling and visualization tools such as Pymol, Shrodinger, Discovery Studio or other such programs. Experience with antigen design for immunizations, analysis and identification of epitopic regions desirable. Familiarity or experience in development of conjugation chemistries or performing antibody conjugation. Theoretical or practical experience in antibody development platforms is desirable. Project or work experience in support of relevant skills such as publications, project reports or thesis work. Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism. The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate with the ability to work with different colleagues. Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. Show more Show less

Work Schedule Standard (Mon-Fri) Environmental Conditions Laboratory Setting, Office About Team: Antibody team The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of the team include design, development, purification, conjugation, and testing of antibodies in a variety of immunoassay applications using groundbreaking tools and technologies. The goal of the program is advanced product development and creation of product-specific information to promote research use. Role: To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular, protein, biochemical, and cell biology methods. Responsibilities: Meticulous experimental planning and execution to meet program goals. Timely record keeping of results into data sheets and laboratory notebooks. Regular mining of literature and keeping oneself up to date with developments in the field. Compilation and presentation of data in written and oral formats. Active participation in team meetings with attention to detail and adherence to schedules. Strong theoretical and proven understanding of protein and antibody conjugation chemistries. Hands-on experience in performing protein or antibody conjugations to dyes, labels, or reporter tags. Experience with the development of new conjugation protocols and the design of site-specific conjugation strategies is desirable. Experience and knowledge in protein purification and analysis technologies such as affinity or ion exchange chromatography, SEC, HPLC, and SDS-PAGE. Experience or familiarity with antibody or protein engineering, rational design of mutants, and molecular biology. Experience with structural biology and protein modeling and visualization tools such as Pymol, Shrodinger, Discovery Studio or other similar programs is desirable. Theoretical or practical experience in antibody development platforms is desirable. Proficient in MS Office applications such as Word, PowerPoint, Excel, and possess a strong statistical knowledge and familiarity with statistical software such as Prism. Seeking self-motivated candidate who excels in learning and applying new concepts for process or product improvements. Must have strong interpersonal skills to connect with peers and leadership. Show more Show less