engineering scientist

Genentech

<div><h3 class="jobSectionHeader">The Position</h3><h1 class="jobSectionHeader">
Technical Development Senior Scientist</h1>
The Pharma Technical Development (PTD) organization is responsible for translating scientific concepts into manufacturable products and ensuring a reliable supply of quality therapeutics to patients. PTD operates through collaboration and continuous process improvement to achieve its mission.
The Global Analytical Development and Quality Control (ADQC) function provides integrated analytical control strategies for the biologics pipeline. This includes developing, validating, and executing physico-chemical, immunochemical, and biological methods. ADQC's work directly supports CMC development, process development, product characterization, and drug delivery for biologics, spanning from early research (molecular assessment) through post-launch activities.
This position is based in South San Francisco, on site. 
The Opportunity
A Technical Development Senior Scientist position is available in Bioassay US within Genentech&rsquo;s PTD - ADQC. This is a critical hands-on position designed for an individual eager to develop deep expertise in cell engineering and molecular biology to advance our biotherapeutic pipeline.
You will be directly involved in the creation of next-generation cellular tools, enabling the generation mechanism-of-action (MOA) and characterization assays. This role provides an exceptional opportunity to work under the mentorship of a Technical Development Senior Principal Scientist, implementing cutting-edge technologies to drive the design and progression of novel assays.
If you are passionate about precision cell line engineering and thrive in a fast-paced, inclusive team environment, we encourage you to apply. 
Key Responsibilities
The successful candidate will be a core contributor to our cell engineering pipeline, focusing on the following areas:<ul><li>
You provide hands-on support for generating and maintaining mammalian cell lines required for functional assays and cell binding.</li><li>
Executing specialized molecular biology techniques, including vector design/cloning and production of viral vectors (i.e., lentiviral) to create reporter cell lines and stable expression cassettes.</li><li>
Applying CRISPR gene editing and other advanced cellular modification techniques to create precise cellular models for studying drug MOA.</li><li>
You perform quantitative analysis of engineered cell lines using techniques like FACS and PCR.</li><li>
Driving continuous improvement by incorporating current scientific and innovation trends, and collaborate cross-functionally to acquire necessary data to enable portfolio deliverables.</li><li>
You maintain meticulous laboratory records, contribute data to technical reports, present findings at internal group meetings, and represent our work at major external scientific conferences.</li></ul>
Who You Are (Required)<ul><li>
Ph.D. in a relevant field (e.g., Cell Biology, Molecular Biology, Bioengineering).</li><li>
Demonstrated proficiency in aseptic technique and maintaining cultures of a variety of mammalian cell types.</li><li>
Strong fundamental skills in molecular cloning, nucleic acid purification, and design principles for gene expression cassettes, reporters, and knockout strategies.</li><li>
Practical experience with nucleic acid delivery methods such as lipofection, nucleofection, and/or viral transduction (e.g., lentivirus).</li><li>
Experience with FACS-based methods for analyzing cell surface expression and/or functional reporters.</li><li>
Detail-oriented, highly organized, and demonstrated ability to manage and prioritize tasks for multiple projects concurrently.</li><li>
Strong oral and written communication skills suitable for documenting work and presenting data to the immediate team.</li></ul>
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is 104,700.00 - 170,000.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>

Technical Development Senior Scientist

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Applied Scientist

Enerjisa Üretim

<div>
 
 We are looking for a
 
 Data Scientist/Junior Data Scientist
 
 to join our team in &Idot;stanbul Ata&scedil;ehir Head Office.
 
 
 
 
 
 At Enerjisa &Uuml;retim, nature and people are our true sources of energy. Every step we take moves us closer to a more sustainable future. As our operations expand across the globe, we continue to create value that goes beyond borders.
 
 
 58% of our energy portfolio comes from renewable sources &mdash; and we&rsquo;re already shaping tomorrow&rsquo;s energy, starting today.
 
 
 People are at the heart of everything we do. Our growth is driven by a deep commitment and enriched by the diverse voices that make us who we are.
 
 
 We believe true transformation begins together.
 
 
 
 
 
 
 Ready to be part of the change? Join us &mdash; because the future changes with us.
 
 
 
 
 
 
 
 
 DATA SCIENTIST/ JUNIOR DATA SCIENTIST
 
 
 
 
 Are you passionate about the intersection of data science and the energy sector? We are on the lookout for a talented Data Scientist/Junior Data Scientist to join our team and contribute to cutting-edge projects in energy generation, trading, and derivatives. If you thrive on developing quantitative solutions, building decision support systems, and collaborating across multidisciplinary teams, this opportunity is for you!
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering or a related quantitative field with a focus on applied statistics, AI, machine learning
 </li>
 <li>
 At least 1-2 years experience on related fields
 </li>
 <li>
 Hands on experience with data science projects &mdash; from requirement specification till deploying, maintaining, and improving production-ready solutions
 </li>
 <li>
 Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
 </li>
 <li>
 Hands on experience in scripting languages Python and R
 </li>
 <li>
 Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
 </li>
 <li>
 Experience with machine learning models
 </li>
 <li>
 Experience on data consumption methods (SQL, API, Azure Service Bus)
 </li>
 <li>
 Experience with cloud environment is a plus
 </li>
 <li>
 Experience with DevOps tools (GitHub, Docker) is a plus
 </li>
 <li>
 Knowledge of Turkish energy sector is a plus
 </li>
 <li>
 Fluent in English
 </li>
 </ul>
 
 
 
 
 
 Job Descriptions:
 
 
 <ul>
 <li>
 Developing quantitative solutions centered around energy generation, trading, and derivatives
 </li>
 <li>
 Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
 </li>
 <li>
 Building decision support systems from scratch
 </li>
 <li>
 Performing fundamental data analysis and data visualization
 </li>
 <li>
 Performance tracking and maintaining the existing products
 </li>
 <li>
 Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
 </li>
 </ul>
 
 
 
 
 
 What Awaits You at Enerjisa &Uuml;retim?
 
 
 <ul>
 <li>
 
 Hybrid Working Model
 
 </li>
 <li>
 
 Master&rsquo;s Degree Support
 
 </li>
 <li>
 
 Flexible Benefits
 
 
 (With our "Sana G&ouml;re" program, you can customize your benefits based on your individual needs and preferences)
 
 </li>
 <li>
 
 Child&amp;Pet-Friendly Policies
 
 </li>
 <li>
 
 Collective&amp;Special Leave Options
 
 </li>
 <li>
 
 Learning&amp;Development Programs and LinkedIn Learning Membership
 
 </li>
 <li>
 
 Power MBA Development Program
 
 
 (In collaboration with Sabanc&inodot; University Executive Development Unit &ndash; offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
 
 </li>
 <li>
 
 Social Activity Clubs
 
 
 (Sports, arts, travel, gastronomy)
 
 </li>
 <li>
 
 Healthy Living Services
 
 
 (Fitness trainers, dietitian support, and wellness programs)
 
 </li>
 <li>
 
 Parent Support Program
 
 
 (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
 
 </li>
 <li>
 
 Private Pension Plan
 
 (with company Contributions)
 </li>
 <li>
 
 Private Health and Life Insurance
 
 </li>
 <li>
 
 Sabanc&inodot; Life Privileges
 
 
 (Exclusive offers in shopping, travel, technology, wellness, and more)
 
 </li>
 </ul>
 
 👉
 
 
 Click Here To Watch Our Office Promotional Video
 
 
 
</div>

Data Scientist/Junior Data Scientist

Newgen Software Technologies

<div><div><div>Job Description &ndash; Software Design Engineer / Data Scientist 1. Basic Information Job Title: Software Design Engineer &ndash; 2 / Data Scientist Department: Data Science Location: Gurugram 2. Job Purpo 
</div></div><div><div>Job Description &ndash; Software Design Engineer / Data Scientist
1. Basic Information
Job Title: Software Design Engineer &ndash; 2 / Data Scientist
Department: Data Science
Location: Gurugram 
2. Job Purpose
The Software Design Engineer &ndash; 2 (SDE-2) will contribute significantly to designing, developing, and optimizing scalable systems that support data science models and research workflows. The role requires converting research concepts into production-ready engineering solutions while following strong algorithmic principles, clean coding standards, and thorough documentation. The position involves close collaboration with data scientists, researchers, and cross-functional teams to build robust model pipelines and reusable components.
3. Principal Accountabilities
1. Algorithmic Understanding &amp; Scalable Engineering Understand algorithms, data structures, and code complexity.
Build scalable, optimized engineering solutions aligned with best practices. Quickly interpret new research papers, techniques, and model trends. Translate research ideas into functional engineering components.
2. Model &amp; Component Development Develop POC components and reusable horizontal modules. Build and integrate model utilities, pipelines, and domain-specific solutions. Conduct logical validation and implement unit/integration test cases.
3. Code Quality, Documentation &amp; Compliance Maintain detailed documentation of modules, parameters, and design decisions. Document research insights, experiment outcomes, and technical findings. Provide SonarQube and Checkmarks reports when required. Deliver clean, maintainable, and readable code.
4. Performance Optimization &amp; Maintainability Ensure code meets performance and runtime expectations. Provide performance benchmarks and optimization insights Deliver well-structured, maintainable code and documentation for long-term usage.
4. Key Performance Indicators (KPIs)
1. Research Understanding &amp; Innovation Speed and accuracy in understanding new research papers and technologies. Number of research concepts converted into functional prototypes. Contribution toward creating reusable and scalable components.
2. Component &amp; Model Development Quality Timely delivery of POCs and engineering modules. High coverage of unit, integration, and functional tests. Fewer defects during testing and post-deployment. Successful POC outcomes in internal or customer evaluations.
3. Code Quality &amp; Documentation Improved performance of models and pipelines (latency, throughput, efficiency). Reduced compute consumption (CPU, GPU, memory). Reliable and stable components in test/production environments. High code quality reflected in SonarQube / Checkmarx metrics. Clean, maintainable code with minimal review changes. Comprehensive documentation of modules, parameters, and research work. Optimization of algorithm runtime and complexity. Effective identification and resolution of bottlenecks.
5. Key Dimensions
Financial Accountability: Not applicable / As assigned
Direct/Indirect Reports: None / As assigned
Geographical Scope: India &ndash; Gurugram
6. Knowledge, Skills &amp; Experience
Educational Qualifications
M.Tech / M.Sc
Relevant Experience
Experience working with AI models Experience in Computer Vision, NLP, and Generative AI Knowledge of DBMS Hands-on experience with Python and AI libraries (PyTorch, Keras, etc.)
Skills Required
Python (pandas, numpy, tensorflow, keras, pytorch) Machine Learning Computer Vision Natural Language Processing (NLP)DBMS Generative AI Strong problem-solving abilities</div></div></div>

Software Design Enginner / Data Scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you inspired by Innovation? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you&rsquo;ll fit right in here at World Wide Engineering and Innovations (WWEI) - Sortation and Ultrafast Engineering (SUE) team. 
 
We start with the customer and work backwards in everything we do. If you&rsquo;re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you&rsquo;ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Anylogic, FlexSim, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and using technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers. 
 
Key job responsibilities 
As a Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply operations research principles and methodologies for complex use cases across multiple business network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future designs at Amazon. 
 
Key job responsibilities 
<ul><li>Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages</li><li>Lead strategic modeling and simulation research projects to drive process design decisions</li><li>Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards</li><li>Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact</li><li>Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations</li><li>Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects</li><li>Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments</li><li>Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline</li><li>Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices</li><li>Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms</li><li>Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout</li><li>Deliver results according to project schedules and quality</li></ul>
A day in the life 
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&rsquo;re passionate about this role and want to make an impact on a global scale, please apply! 
Basic qualifications 
PhD, or Master's degree and 4+ years of quantitative field research experience 
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products 
Experience analyzing both experimental and observational data sets 
Preferred qualifications 
Knowledge of R, MATLAB, Python or similar scripting language 
Experience with agile development 
Experience building web based dashboards using common frameworks</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of quantitative field research experience</li><li>Experience investigating the feasibility of applying scientific principles and concepts to business problems and products</li><li>Experience analyzing both experimental and observational data sets</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of R, MATLAB, Python or similar scripting language</li><li>Experience with agile development</li><li>Experience building web based dashboards using common frameworks</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Simulation Scientist, Amazon Logistics, Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

JASARA PMC

JASARA PMC is excited to welcome enthusiastic and driven individuals to apply for the position of Graduate Engineer. This entry-level role is designed for recent graduates who are eager to launch their careers in engineering and project management. At JASARA PMC, you will be part of a multidisciplinary team working on diverse projects that shape the infrastructure landscape of Saudi Arabia.
 As a Graduate Engineer, you will receive mentorship and training from experienced professionals, allowing you to develop your technical skills and gain valuable insights into the engineering field. This is an excellent opportunity to build a solid foundation and gain practical experience in a dynamic and supportive environment.
 
Responsibilities: 
<ul>
<li>Assist in the design and analysis of engineering projects under the supervision of senior engineers</li>
<li>Conduct site visits to gather data, assist in inspections, and support project execution</li>
<li>Collaborate with project teams to develop engineering calculations, reports, and documentation</li>
<li>Participate in project planning, scheduling, and resource management activities</li>
<li>Use engineering software tools to create models and perform analyses</li>
<li>Support the preparation of project proposals, presentations, and progress reports</li>
<li>Continuously learn and stay updated on industry trends and best practices</li>
</ul>
Requirements: 
<ul>
<li>Bachelor's degree in Civil Engineering or related discipline</li>
<li>Recent graduates or candidates with less than 2 years of experience in engineering</li>
<li>Strong understanding of engineering principles and practices</li>
<li>Familiarity with engineering software such as AutoCAD and Microsoft Office Suite</li>
<li>Excellent communication and teamwork skills</li>
<li>Willingness to learn and adapt in a fast-paced environment</li>
<li>Strong analytical and problem-solving abilities</li>
<li>Attention to detail and a commitment to quality work</li>
<li>Fluency in English is required; proficiency in Arabic is a plus</li>
</ul>

Graduate Engineer

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