Junior Python Developer Jobs

POSITION SUMMARY: Natera is a global leader in cell-free DNA testing. We measure fetal, tumor, or donor cfDNA at the molecular level to help inform personalized health care decisions with a non-invasive test. The Natera R&D Department is looking for a highly motivated Staff Scientist to join the rapidly growing assay development team to help build the future of Natera. In this position, you will be an integral part of high-performing teams across functions to develop laboratory tests that positively impact the business and our patients. A successful candidate will have a deep understanding of molecular biology, strong scientific curiosity and high level of expertise of developing cfDNA assays through product development cycles. You will lead and support dedicated junior scientists and laboratory technicians to plan, execute and manage scientific studies under design control in a regulated environment to help improve and expand Natera's state-of-the-art product portfolios. PRIMARY RESPONSIBILITIES: Lead technical projects and associated timelines and deliverables as a subject matter expert and represent the assay development group in cross-functional project teams. Drive the planning, design, execution, and reporting of feasibility, development, verification and validation studies under the design control quality system. Collaborate closely with research scientists, automation engineers, biostatisticians and data scientists within a dynamic R&D team to develop new and innovative molecular assays. Communicate and document experimental data, scientific findings, and recommendations to R&D and other functions including Lab Operations, Scientific Affairs, Product Management, Quality, and Regulatory groups. May manage Scientists or Research Associates. QUALIFICATIONS: BS, MS. or PhD Degree in genetics, molecular biology, biochemistry or a closely related field. PhD with a minimum of 6 years relevant experience, or a MS degree and mini

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Real World Data Programmer Consultant to join one of our clients. ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research with a focus on exceptional quality, career development, and a supportive culture. As we expand our presence and offerings, we’re looking for an experienced Senior Real World Data Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor. Position Overview: We are seeking a Senior Real World Data (RWD) Analytics Consultant/Senior Real World Data Programmer Consultant to lead and oversee complex statistical analyses, provide high-level strategic recommendations, and guide junior analysts in the execution of observational research. This leadership position combines technical expertise with client-facing responsibilities, allowing the successful candidate to influence key decisions within our client’s RWE and cross-functional teams. The Senior Consultant will be responsible for ensuring the highest standards of data analysis and driving innovations that enhance our client’s research outcomes. Key Responsibilities: Lead the development and execution of statistical analysis plans (SAPs) for large-scale real-world evidence (RWE) studies. Work directly with cross-functional teams and senior stakeholders to design data-driven solutions that meet sponsor needs. Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency. Provide guidance on the development and optimization of RWD analytics workflows. Establish and maintain strong, trusted relationships with client counterparts. Act as a key advisor, offering strategic insights based on

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. RESPONSIBILITIES: Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses Developing data pipelines and integrating large-scale data, training, and inference systems Collaborating with ML teams to productionize models and ensure seamless integration across the stack Ensuring scalability, reliability, and efficiency of large-scale machine learning systems Working across the full stack to solve complex problems independently Mentoring junior engineers and contributing to the growth of the team BASIC QUALIFICATIONS: Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infr

Salary Range: PLN 260,000 - 352,000 PLN Subject to alignment to the responsibilities and duties of the role About the job Build the simulator that helps engineers understand and optimise collective communication at AI scale. As a Senior Software Engineer in the Collectives Simulator team, you will design and develop a large-scale simulator for new AI hardware. Your work will help engineers analyse network parameters and develop communication algorithms for high bandwidth and low latency. You will lead development across design, implementation, testing and documentation. You will also work with other engineering teams to develop features, troubleshoot complex issues and integrate new hardware with the wider AI ecosystem. The role combines large-scale software engineering with custom hardware and communication systems. You will shape technical direction, mentor junior engineers and help build the software that enables efficient communication at very high scale. The team and culture We value face-to-face interaction and make time to meet in the office frequently. The team works in two-week sprints, with three stand-ups each week, fortnightly sprint planning and a weekly team meeting. Work is planned with input from the Technical Product Manager, covering both longer-term priorities and upcoming sprints. Engineers typically work in small groups on larger tasks or components, coordinating the work among themselves. The team has a high level of technical expertise, with opportunities to attend thematic conferences and team outings roughly once a quarter. What we're looking for Extensive professional software development experience using C++ Strong Python and C programming skills Experience developing efficient concurrent applications using multithreading and inter-process communication Strong debugging and problem-solving skills for complex software systems Experience with unit testing frameworks such as Boost.Test or Google Test Proficiency with software build syste

Opportunity Overview: As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation Provide scientific and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives. What you’ll need: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Nice-to-haves Experience with generative AI or Retrieval Augmented Generation (RAG) Experience working with unstructured healthcare data (e.g., clinical notes) Experience with OCR or image-based document understanding techniques Hands on experience using AWS tools such as SageMaker Studio ISMS roles and responsibilities Good knowledge of Information practices. Assist the manager in all the information security activitie

Natera is seeking a Staff Scientist to join our Early Research Team. The primary focus of this role is to independently lead the research and development of novel next-generation sequencing (NGS) technologies. In this role, you will lead projects from ideation to prototype, specifically designing and optimizing high-complexity NGS methods to advance our oncology diagnostic portfolio. Success in this role requires a deep technical foundation in molecular biology and NGS plus a proven track record of industrial R&D leadership. Primary Responsibilities: Lead and manage the development of innovative NGS-based diagnostic assays from feasibility through optimization. Define project goals and plans with input from stakeholders and manage multiple project streams in parallel. Independently design and execute complex laboratory experiments; analyze and interpret results to guide research direction. Coordinate cross-functional efforts to meet milestones and collaborate closely with bioinformatics, statistics, and data science teams to ensure robust experimental design and data analysis. Mentor and guide junior scientists while promoting scientific rigor and best practices. Author high-quality protocols, technical reports, and study documentation. Communicate progress regularly to stakeholders, including departmental meetings and senior leadership. Contribute to risk management, strategy development, and continuous improvement of scientific workflows. Qualifications: Ph.D. in molecular biology, genomics, or a closely related field. Minimum 8 years of relevant industry experience, or 2+ years postdoctoral research with 6+ years in industry. Proven experience in designing and advancing NGS-based diagnostics, preferably in the field of oncology. Required Expertise: A strong technical foundation in molecular biology or chemistry. Deep mechanistic knowledge of NGS library preparation chemistry. Demonstrated ability to independently design and execute complex experiments (solid

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction. Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. What We’re Looking For 2-8 years of machine learning engineering expe

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Please note that eligible Service members must be within 180 days of separating from Service. Based on the evolving needs of our fast paced startup, we recruit for SkillBridge on a rolling basis. Opportunities will be posted as they become available. If no SkillBridge Intern roles are currently posted that are aligned with your experience, no internships are presently available. Please check back periodically to see when relevant opportunities arise. Role Description: We are seeking Platform Engineer SkillBridge interns to join our team in a remote capacity. The ideal candidate will play a crucial role in the development and maintenance of our platform, demonstrating a strong understanding of system architecture, problem-solving skills, and the ability to guide junior engineers. We are seeking an experienced professional who can not only fulfill technical responsibilities but also contribute to the strategic vision and innovation of our products. You will join a team of talented and dedicated Unicorns who are focused on advancing freedom and independence globally. Our teams are working on architecting, building, and deploying an on-premises platform for hosting cybersecurity applications. Responsibilities: In this role, your primary responsibilities will include transforming cybersecurity applications into a Kubernetes-friendly format and deploying them within a Kubernetes environment hosted on a bare-metal platform. You will be a crucial link between the Application Development team and the Production Environment, advocating best practices and facilitating communication between the application development teams and platform teams. In this position, you will be expected to: Contribute to the Strategic Vision: Envision and articulate the long-term vision for our products, creating a path for their evolution. Contribute to the strategic planning that

Join Artefact Belgium: Lead the Future of Generative AI and Large Language Models Are you a seasoned AI professional with a passion for generative AI and Large Language Models (LLMs)? Artefact Belgium is looking for a Senior Data Scientist - Gen AI to drive innovation and lead cutting-edge projects. If you have at least four years of experience in AI and consulting, combined with a talent for project and team management, we invite you to shape the future of LLM-driven solutions with us in Brussels. Who You Are Experienced professional: At least 4 years of experience in AI, with a strong background in consulting and delivering impactful projects for diverse clients. Leader and collaborator: Proven experience managing teams, guiding junior colleagues, and fostering collaboration in multidisciplinary environments. Innovative thinker: Able to identify emerging trends in generative AI and apply them to real-world challenges. Results-oriented: Comfortable handling end-to-end project delivery, from ideation and development to deployment and client engagement. Eager to grow: Passionate about advancing your expertise in LLMs and generative AI while mentoring others. Who We Are Artefact is a leading Data & AI consulting firm at the forefront of AI innovation. With a global presence, we collaborate with top-tier clients across industries, including healthcare, manufacturing, and media, to harness the transformative power of generative AI. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. What You Will Do Lead and deliver LLM projects: Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients. Drive technical excellence: Architect and deploy advanced AI systems leveraging cuttin

Systems Technology Inc. (STI) is a private, employee-owned company (ESOP) that provides engineering consulting and product development with a focus on safety. We are a small company that enjoys many of the perks of start-ups, but we have been in business for over sixty years and have an aggressive growth plan. Being part of STI means being a key contributor in the company while working with a team that spans the range of experience from recent graduates to 20+ year tenure. At STI, we look for business partners who want to be part of something special and contribute to a culture built on transparency, friendliness, innovation, ownership and accountability. If you are of a like mind and enthusiastic about solving challenging, real world, relevant problems, we would love to hear from you. As a 100% employee-owned company, STI understands that employees' individual and collective hard work and dedication will lead directly to the success of the company in the long term. An Employee Stock Ownership Plan (ESOP) gives employees an ownership interest in the company that employs them. What You’ll Do: The Principal Research Engineer executes a variety of highly specialized/technical, business development and leadership activities. This individual provides advanced expertise in the areas of modeling, simulation and/or flight control. This person submits government proposals and is involved in commercial client outreach via networking at conferences and meetings. In addition, this person is responsible for leading commercial consulting contracts. The Principal Research Engineer also manages multiple contracts that involve tracking budgets, ensuring successful deliverables, and managing junior engineers. This person actively engages in company process development and participates in BD related activities. This individual may supervise, and mentor select staff engineers. Will report to the Director of Engineering Services. Supports determining top level technical direction

Job Details: Job Description: About the Role Join a team developing next-generation CPU cores that power client, server, IoT, and AI platforms. As a Senior Physical Design Engineer (CPU), you will play a key role in delivering high-performance, power-efficient silicon solutions. You will take ownership of blocks within the CPU core design, driving implementation from RTL to GDS and contributing to advanced physical design methodologies. What You’ll Do Key responsibilities will include but not limited to: Own physical design and implementation of CPU core blocks or subsystems Execute synthesis, floorplanning, place and route, and design closure Perform static timing analysis (STA), power analysis, and physical verification Drive convergence of timing, power, and area (PPA) metrics Debug and resolve complex design issues across multiple design stages Develop and optimize design flows and automation scripts Collaborate cross-functionally with RTL design, verification, clocking, and full-chip teams Contribute to improving design methodologies and best practices Provide guidance to junior engineers where applicable Behavioral traits that we are looking for: Strong problem-solving and analytical thinking Takes ownership and accountability for deliverables Collaborates effectively across multidisciplinary teams Communicates technical concepts clearly and concisely Prioritizes work effectively in a fast-paced environment Continuously learns and applies new tools and methodologies Why Join Us Work on cutting-edge CPU core designs that power client, server, IoT, and AI platforms used worldwide Be part of

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Drive and develop reliability verification with design and product teams by planning, overseeing, and developing stress patterns for increased reliability coverage. Be proficient on product reliability requirements and customer usage conditions for different DRAM products. Perform Verification Processes with Modeling and Simulation Using Industry Standard Simulators. Contribute to Cross Group Communication To Work Towards Standardization And Group Success. Working with Marketing, Quality, And Product Engineering Groups To Ensure Accurate Manufacturability Of Product. Proactively Solicit Guidance From Standards, Cad, Modeling, And Verification Groups To Improve The Design Quality. Drive Innovation Into The Future Memory Generations Within A Dynamic Work Environment. Drive customer usage model alignment across different functional teams. Work with technology teams to ensure high-risk reliability mechanisms are evaluated. Be advised on all silicon reliability related issues. Support product teams during silicon validation and qualification phase. Analyze and debug circuit down to device level in relation to degradation mechanism. Develop and improve reliability verification tools and methodologies. Engage in technical forums for continuous improvement of design for reliability methods. Train and mentor junior engineers. Employer will accept a Bachelor’s degree in Electrical Engineering, Computer Engineering or related field and 60 months of progressive, post-baccalaureate experience in the job offered or in a related occupation. Position r

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. Lead development of AI-powered operations tooling and agentic infrastructure. Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: 5+ years of experience in DevOps, platform engineering,

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As Staff Engineer in Micron’s High Bandwidth Memory (HBM) Component Validation team, you will contribute as Subject Matter Expert (SME) and contribute to define new standards on validation development for advanced HBM products and ensure stable, scalable validation testing infrastructure with zero code-related escapes across MBIST, Native test modes and high speed memory validation. You own optimizing test flows, and lead technical problem solving for next generation HBM products. You’ll drive validation development deliverables and mentor junior engineers. Why Join Us You’ll gain hands-on experience with cutting-edge HBM technologies and validation platforms, working alongside global experts. This role offers opportunities to learn advanced validation techniques, drive and deliver product readiness, technology solutions and innovations, and grow into technical leadership roles. Responsibilities Test program development SME: Drive and develop and maintain test programs for HBM component validation Deliver timely test program releases aligned with validation milestones and drive code quality, reviews, and release best-practices Drive test time optimization and parallelism improvements Drive test stab

About the team and role The team focuses on SaaS application protection (e.g., Microsoft Office 365, Salesforce). As the industry moves toward SaaS, data protection (backup and recovery) for these applications is critical. You’ll tackle problems at a massive scale, such as efficiently protecting data for millions of users’ emails and documents, helping drive the next generation of SaaS protection and Rubrik’s next growth engine. Key responsibilities (time allocation) Build large-scale, fault-tolerant distributed software systems that can scale indefinitely (35% of time) Own, design, and develop cutting-edge solutions for Disaster Recovery as a Service (DRaaS) for on‑prem and major cloud platforms; Implement data management jobs for backup and recovery of virtual machines in virtualized enterprise infrastructure (Scala/Java); Design and implement admin-facing UIs and intuitive APIs that integrate with third-party and customer applications Perform code reviews focused on interface design, code quality, and testing strategies Solve challenging scalability and stability problems impacting delivery of high‑scale products in accordance with quality, velocity, and coding standards (25% of time) Analyze defects to assess and prioritize fixes; work with customers and product to understand requirements and requested customizations before implementation Respond to critical problems in our Saas product offerings (20% of time) resolve issues in build and test infrastructure; create solutions with robust monitoring, metrics, and automation Partner closely with Rubrik product teams to understand customer requirements and ensure features are delivered effectively (20% of time) What you’ll do (summary) Design, build, and maintain Rubrik’s cloud data protection services for SaaS applications Tackle complex distributed systems and scaling problems Collaborate with Product Management, UI, Documentation, and Support teams Lead projects and mentor junior engineers