Staff Engineer, Software at Thermo Fisher Scientific
Thermo Fisher Scientific · Bangalore, India
- Salary: Not Disclosed
- Experience: 5-8 years
📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company Thermo Fisher Scientific 👥 Experience 5-8 years 🎓 Qualification Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL AWS Azure Git Spark TensorFlow PyTorch Staff Engineer, Software at Thermo Fisher Scientific — Full Details & How to Apply Thermo Fisher Scientific is seeking a Staff Engineer, Software in Bangalore, India to analyze large amounts of single-cell VDJ data using Python and SQL . This role directly supports scientific research in personalized medicine through data analysis pipelines. This Staff Engineer, Software position involves establishing methods to analyze large datasets, which directly impacts research in health and safety. The role requires hands-on work with technologies such as Python , SQL , AWS , Azure , Git , Spark , TensorFlow , and PyTorch . These tools are used to build scalable solutions for processing complex biological data, enabling scientists to identify protein biomarkers from high-throughput datasets. Thermo Fisher Scientific specializes in transforming the understanding of human diseases through advanced protein biomarker discovery, particularly with their Olink solutions. The Staff Engineer will contribute to development efforts within a team focused on data-driven scientific discovery. The role is part of Thermo Fisher Scientific recruitment for technical roles in the technology sector. Candidates with a relevant technical / engineering background , 5-8 years of experience , and belonging to the eligible batches of 2023, 2024, 2025, 2026 should apply. The salary for this position is Not Disclosed . Applicants will gain hands-on experience with Python , SQL , AWS , Azure , Git , Spark , TensorFlow , and PyTorch . This role provides a pathway to deeper involvement in life science technology development and supports progression into senior engineering or research engineering roles within a global science organization. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Staff Engineer, Software jobs in Bangalore, India or explore Thermo Fisher Scientific recruitment for technology roles. Find Bangalore, India jobs with real technical exposure and apply online through the official portal. Job Role & Responsibilities The Staff Engineer, Software at Thermo Fisher Scientific is responsible for building scalable data analysis pipelines that process single-cell VDJ data using Python and SQL , enabling discovery of protein biomarkers through automated, reproducible workflows. Establish methods to analyze single-cell VDJ data using Python scripts that parse FASTQ and VDJ alignment outputs, applying statistical models to detect rare cell populations. Utilize AWS and Azure to deploy cloud-based data storage solutions with Amazon S3 and Microsoft Azure Blob Storage for handling petabyte-scale biological datasets. Collaborate with biologists and software engineers to design and implement data processing tools that extract protein biomarker signals from high-dimensional sequencing data using Python and SQL queries. Monitor performance metrics such as data processing latency , memory usage , and query execution time to evaluate efficiency of Spark and Python data pipelines. Maintain and support existing Git repositories containing Python and SQL codebases used for data analysis, ensuring version control and code stability across releases. Document end-to-end data analysis workflows, including data ingestion , transformation , and output validation steps, with clear Python and SQL script annotations and error handling. Troubleshoot data processing failures in Spark and Python jobs, identifying root causes related to memory leaks, data skew, or SQL query inefficiencies and proposing fixes. Optimize data processing pipelines by tuning PyTorch and TensorFlow models for inference speed and accuracy on AWS and Azure compute instances. This role demands direct ownership of data analysis systems, where every decision impacts the accuracy and scalability of protein biomarker discovery workflows in real-world biological research environments. Required Skills & Technical Competencies Candidates must demonstrate proficiency in core software engineering tools and data processing technologies, with a focus on practical application in biological data analysis. Technical Skills Python — advanced — used to develop and maintain data analysis pipelines for single-cell VDJ data , including parsing, filtering, and statistical modeling of biological sequences. SQL — intermediate to advanced — used to query and manage relational databases storing VDJ sequencing data , enabling efficient retrieval of biomarker-related records. AWS — intermediate — used to configure and manage Amazon S3 and EC2 instances for scalable storage and processing of large biological datasets. Azure — intermediate — used to deploy cloud-based data processing environments with Azure Data Lake and Azure Databricks for integration with existing workflows. Spark — intermediate — used to process large-scale data in parallel using Spark SQL and Spark DataFrame APIs for efficient VDJ data transformation . TensorFlow — intermediate — applied to build machine learning models that classify cell types from single-cell VDJ data using neural network architectures. PyTorch — intermediate — used to develop and train deep learning models for protein biomarker detection in high-dimensional biological data. When preparing a resume or interview response, emphasize hands-on experience with Python and SQL scripts that process real biological datasets, and highlight specific tools like Spark , AWS S3 , or TensorFlow used in actual data analysis projects. Eligibility Criteria This role is designed for candidates with a relevant technical or engineering background and at least 5–8 years of practical software development experience in data-intensive environments. Must hold a degree in Computer Science, Engineering, or a related technical field with a focus on software development or data engineering. Eligible batches are 2023, 2024, 2025, and 2026 , with all applicants expected to have completed their degree by the start of the role. Minimum of 5 years of professional experience in software engineering, with direct exposure to data processing or machine learning systems. CGPA or academic performance is not specified, but practical project experience is essential. Must have a documented portfolio of technical projects, including code repositories on GitHub that demonstrate data analysis or machine learning workflows. Experience with Git for version control and Python or SQL codebases is required for project evaluation. Documentation & Portfolio Requirements Your resume must include a clear section listing GitHub links to projects involving Python , SQL , or machine learning that process large datasets, with detailed descriptions of data sources, tools used, and outcomes. For this role, prioritize showcasing projects where you used Python and SQL to analyze biological or high-dimensional data, and where Spark or TensorFlow was applied to extract patterns or biomarkers — this directly aligns with the core mission of the job. Salary for Staff Engineer, Software at Thermo Fisher Scientific 💰 Compensation Not Disclosed The advertised compensation for the Staff Engineer, Software role at Thermo Fisher Scientific is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Staff Engineer, Software Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for software development and data manipulation tasks in this role. SQL — Crucial for database management and data querying relevant to the position. AWS — Familiarity with cloud services is vital for modern software engineering tasks. Azure — Understanding this platform enhances your cloud computing capabilities. KodNest — Offers practical coding challenges to sharpen your programming skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python or SQL — Ensure these skills are highlighted. ❌ Using a generic resume — Tailor it to align with the specific responsibilities listed in the job description. ❌ Listing technologies like TensorFlow or AWS without context — Provide details on how they were applied in previous roles. ❌ Ignoring the experience requirement of 5-8 years — Verify your eligibility against this criterion. ❌ Adding unrelated technologies or unsupported claims — Stick to relevant skills to avoid ATS penalties. ❌ Submitting an application without verifying the official Apply URL — Always check the job details before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Staff Engineer, Software Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Python SQL AWS Azure Git Spark TensorFlow PyTorch Data Analysis Single-cell VDJ Biomarker Discovery Software Development Resume Tips for This Role Highlight your experience with Python and SQL prominently on your resume. Emphasize familiarity with AWS and Azure , showcasing relevant projects. Include a project involving data analysis or machine learning using TensorFlow or PyTorch . Use exact keywords from the job description naturally in your resume. Avoid including unsupported technologies or claims that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Staff Engineer, Software at Thermo Fisher Scientific Apply Now — Thermo Fisher Scientific Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Thermo Fisher Scientific NexisGrow.com does not charge any fees for job applications. Thermo Fisher Scientific Thermo Fisher Scientific is a technology company based in Bangalore, India . The role is a Staff Engineer, Software position operating in a hybrid work mode. This role supports innovation in the technology industry, focusing on scientific research and data analysis. The team develops computational pipelines to analyze single-cell VDJ sequencing data, with a focus on antibody evolution. They integrate diverse immunoglobin data sources to advance understanding of immune responses. This work supports discovery in proteomic science and personalized medicine. This role contributes to the Proteomic Sciences Division , where advanced protein biomarker discovery drives scientific innovation. The work enables scientists to explore human diseases through validated protein assays. Early-career professionals gain hands-on experience with Python, SQL, AWS, Azure, Git, Spark, TensorFlow, PyTorch . These tools support real-world development in data analysis and machine learning, offering practical exposure to cutting-edge technologies in research. Company Details Industry Technology Location Bangalore, India Connect With Us Careers Apply Now Website 🔗 thermofisher.wd5.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 5-8 years of experience from the eligible batches of 2023 to 2026 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, AWS, Azure, TensorFlow, and PyTorch are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Familiarize yourself with AWS and Azure services. 3. Prepare to discuss data analysis projects. 4. Understand the basics of TensorFlow and PyTorch. 5. Be ready to explain your role in previous collaborations. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, requiring office presence 3 days per week in Bangalore, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to advanced technologies and methodologies in data analysis and biomarker discovery. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Python, SQL, AWS, and any relevant projects in data analysis or biomarker discovery. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers and scientists in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer Freshers cannot apply as the experience requirement is 5-8 years. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Thermo Fisher Scientific Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com