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About NonStop:

NonStop is a software services company at the intersection of bioinformatics, genomics, and healthcare technology. We partner with biotech firms, pharma organizations, genomics labs, and clinical institutions to design and deliver production-grade bioinformatics software, AI-powered analytical platforms, and end-to-end genomic data pipelines.

We work on problems that matter: from accelerating variant interpretation workflows and building HIPAA-compliant AI platforms, to orchestrating large-scale multi-omics pipelines for disease diagnostics and pharmacogenomics. Our team blends deep domain expertise with engineering rigor, and we're growing to meet the increasing demand from the life sciences industry for smart, scalable, and compliant bioinformatics solutions.

We work this way:

• We dig deep into biological problems, not just the code. Domain knowledge is valued as much as engineering craft.
• Bioinformatics is a team sport. You'll work alongside software engineers, clinicians, and research scientists.
• You own your work end-to-end, from design to delivery. We trust you to make good decisions and learn fast.
• Life sciences move fast. We encourage continuous learning, conference participation, and staying ahead of the field.

Your role:

As a Bioinformatics Engineer at NonStop, you will be a key contributor in designing, building, and maintaining bioinformatics software solutions and analytical pipelines for our clients across genomics, clinical diagnostics, and precision medicine. You'll bring both biological insight and engineering excellence to every project, collaborating with product, engineering, and scientific teams to deliver solutions that are scalable, reproducible, and compliant.

You’ll be responsible for:

• Build scalable bioinformatics applications and pipelines for efficient processing of genomic, transcriptomic, and multi-omics data.
• Produce high-quality, detailed documentation for all projects, pipelines, tools, APIs, and analytical methods.
• Provide technical consultation and solutions across cross-functional bioinformatics projects.
• Coach and mentor team members through knowledge sharing, code reviews, and pairing on domain-specific challenges.
• Ensure compliance with our SDLC process throughout the product development lifecycle.
• Stay current with evolving bioinformatics technologies and evangelize technical excellence within the team.

We’re looking for:

• Preferably 1 year of experience in designing, developing, and maintaining bioinformatics solutions.
• Master's degree in Bioinformatics, Computational Biology, or a closely related technical discipline.
• Strong understanding of genomic data analysis, variant calling, targeted sequencing, whole-exome (WES), and whole-genome sequencing (WGS) workflows.
• Hands-on experience with RNA-seq analysis, including differential expression and transcriptomic workflows.
• Proficiency in variant interpretation and ACMG/AMP classification workflows is a plus.
• Knowledge of algorithms and computational model development applied to biological data.
• Strong foundation in statistics and data analysis as applied to genomics and bioinformatics.
• Experience developing and debugging bioinformatics pipelines using Nextflow, Snakemake, WDL, or CWL.
• Proficiency in shell scripting and Linux/Unix environments for NGS data analysis.
• Familiarity with workflow automation and best practices in reproducible pipeline design.
• Excellent programming skills in Python (primary); familiarity with R or Java is a plus.
• Proficiency with standard bioinformatics tools (GATK, DeepVariant, VEP, ANNOVAR, MultiQC, FastQC, etc.).
• Experience with relational databases (PostgreSQL, MySQL, or Oracle) and NoSQL databases (MongoDB).
• Confident use of Git and GitHub for version control and collaborative development.
• Experience with cloud computing platforms (AWS or GCP, or Azure) for bioinformatics workloads.
• Familiarity with high-performance computing (HPC) environments is a plus.

Why join NonStop:

• Work on real-world genomics and clinical bioinformatics problems that directly impact patient care and scientific discovery.
• Collaborate with life sciences clients at the cutting edge, from rare disease diagnostics to AI-assisted bioinformatics platforms.

Strong Behavioral Research / Behavioral Insights / Consumer Behavior Research Profiles

Mandatory (Experience 1): Must have 2+ years of experience in Behavioral Research, Consumer Behavior Analysis, Behavioral Science, or Market Research, focusing on understanding user motivations, decision patterns, and digital behavior

Mandatory (Experience 2): Must have hands-on experience conducting primary and secondary research, including qualitative and quantitative research methods such as interviews, ethnographic studies, surveys, behavioral experiments, and observational research

Mandatory (Experience 3) : Experience analyzing user behavior patterns, engagement trends, and digital interaction journeys to generate insights that influence product design, feature development, or platform experience improvements

Mandatory (Experience 4): Must have exposure to data analysis or data mining of user behavior datasets, combining research insights with behavioral data to identify patterns, anomalies, or opportunities for product innovation

Mandatory (Skills 1): Strong understanding of Behavioral Science principles such as Cognitive Bias, Cognitive Dissonance, System 1 & System 2 Thinking, Decision Science, or Consumer Psychology

Mandatory (Skills 2): Experience in testing concepts, prototypes, or product ideas through usability testing, concept validation, or behavioral experimentation to evaluate user response and product effectiveness

Mandatory (Skills 3): Ability to synthesize research findings into actionable insights, hypotheses, and recommendations for Product, Design, or Business teams

Mandatory (Skills 4): Basic understanding of UI/UX and digital product journeys, including how users interact with mobile apps or web platforms, though this is not a design role

Mandatory (Education): Background in Behavioral Science, Psychology, Sociology, Anthropology, Ethnography, Cognitive Science, or related fields (BA/MA/MSc/BSc)

Candidates from institutes with strong behavioral research exposure are preferred

Mandatory (Company): Candidates from B2C consumer product organizations where user behavior is closely tracked and analyzed, such as consumer tech, fintech, e-commerce, or digital platforms

Mandatory (Note):This is not a pure UX Researcher or Data Analyst role. The client is looking for Design Thinking–oriented Behavioral Researchers who combine behavioral science, research methodologies, and behavioral data analysis to generate insights

Job Title: Senior Software Engineer

Location:PUNE

Job Type: Full-time

About the Role:

We are seeking a Senior Software Engineer with at least 1 year of experience in ad tech (preferred) to join our dynamic team. The ideal candidate will have strong proficiency in Java and possess problem-solving skills to design, develop, and maintain scalable software solutions in the ad tech industry.

Key Responsibilities:

• Develop and maintain high-quality Java-based applications.
• Collaborate with cross-functional teams to design and implement new features.
• Troubleshoot and debug issues, ensuring optimal software performance.
• Write clean, scalable, and efficient code while adhering to best practices.
• Participate in code reviews and provide mentorship to junior engineers.

Requirements:

• Proven experience with Java and software development.
• At least 1 year of experience in ad tech (preferred).
• Strong understanding of object-oriented design and data structures.
• Excellent communication and collaboration skills.
• Ability to work independently and manage time effectively.

Job Description: Python Developer  

Location: Pune   Employment Type: Full-Time   Experience: 0.6-1+ year 

Role Overview 

We are looking for a skilled Python Developer with 0.6-1+ years of experience to join our team. The ideal candidate should have hands-on experience in Python, REST APIs, Flask, and databases. You will be responsible for designing, developing, and maintaining scalable backend services.  

Key Responsibilities  

• Develop, test, and maintain high-quality Python applications.  
• Design and build RESTful APIs using Flask.  
• Integrate APIs with front-end and third-party services.  
• Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB,  Redis).  
• Optimize performance and troubleshoot issues in backend applications.  
• Collaborate with cross-functional teams to define and implement new features.  
• Follow best practices for code quality, security, and performance optimization.  

Required Skills  

• Strong proficiency in Python (0.6-1+ years).  
• Experience with Flask (or FastAPI/Django).  
• Hands-on experience with REST API development.  
• Proficiency in working with databases (SQL & NoSQL).  
• Familiarity with Git, Docker, and CI/CD pipelines is a plus.  

Preferred Qualifications  

• Bachelor's degree in Computer Science, Engineering, or a related field.  
• Experience working in Agile/Scrum environments.  
• Ability to write clean, scalable, and well-documented code. 

3-6 years of experience in Functional testing with good foundation in technical expertise.

Experience in Capital Markets domain is MUST.

Exposure to API testing tools like SoapUI and Postman.

Well versed with SQL

Hands on experience in debugging issues using Unix commands.

Basic understanding of XML and JSON structures

Knowledge of Finesse is good to have

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia