scientist/engineer

Offchain Labs

<div></div><div><div><div><div>At Offchain Labs, we aren&rsquo;t just building products: we&rsquo;re leading a movement.</div><div></div><div><br>
As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.</div><div></div><div><br>
At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you&rsquo;re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.</div><div></div><div><b><br>
Why Offchain Labs?</b></div><div></div><div><br>
Offchain Labs is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.<br>
</div><div></div><br>
<div>Arbitrum&rsquo;s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain Labs technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.<br>
</div><div></div><br>
<div>Arbitrum&rsquo;s thriving ecosystem wouldn&rsquo;t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren&rsquo;t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.</div><div></div><div><br>
To top it all off? We&rsquo;re backed by $124 million in funding. We&rsquo;ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly.</div></div><div><div><h3 class="jobSectionHeader"><b>
What you'll do:
</b></h3><ul><ul><li>Attack fundamental challenges to building scalable, secure, reliable, user-friendly blockchain systems</li><li>
Reason through the emerging trends in the crypto and blockchain space and identify (non)obvious opportunities for Offchain Labs</li><li>
Proactively perform feasibility studies and analysis for new protocols, architectures, and feature enhancements</li><li>
Design and write technical specifications and academic papers</li><li>
Design and build proofs of concept</li><li>
Collaborate with research colleagues, share knowledge and expertise, and solve problems together</li><li>
Work with teams across the broader organization, including engineering, product, and business development, to think beyond current technical limitations in delivering the best experience for developers and users</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Who you are:
</b></h3><ul><ul><li>Doctorate degree in Computer Science/Engineering or related discipline, or Master&rsquo;s degree in Computer Science/Engineering, or equivalent work experience</li><li>
1&ndash;2 years of relevant research and development experience in academic and/or industry settings</li><li>
Deep expertise in one or more distributed systems, security, or cryptographic research areas (e.g., distributed protocols, design and analysis of cryptographic algorithms, formal methods, secure multi-party computation, system security, and/or their application to data protection and privacy, authentication, payments, and cryptocurrencies)</li><li>
Familiarity with or willingness to learn blockchain technologies</li><li>
An open-minded research approach and genuine intellectual curiosity</li><li>
Ability to explain complex concepts in simple terms to a non-technical audience</li><li>
Attention to detail and a commitment to excellence</li><li>
A positive attitude and a passion for sharing knowledge within your team, organization, and broader community</li><li>
Experience or interest with layer 2 technologies is a plus</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Perks:</b></h3><ul><ul><li>
Remote-first global workforce + NY office</li><li>
Annual company offsite + team onsites</li><li>
Professional reimbursement program (facilitates industry conference attendance, certifications, and more)</li><li>
Medical, dental &amp; vision coverage (US + some other countries)</li><li>
401k retirement plan + company match (US only)</li><li>
Wellness stipend</li><li>
Home office set up / ergonomic equipment program</li></ul></ul></div></div><div><div><b>
Attention Offchain Labs Job Seekers:</b></div><div></div><div><br>
This role cannot be performed in California, or Colorado.</div><div></div><div><br>
Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an OCL employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com</div><div></div><div><br>
At Offchain Labs, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Research Scientist/Engineer

Lawrence Livermore National Laboratory

<div><h3 class="jobSectionHeader"><b>Company Description</b></h3>
<p><b>Join us and make YOUR mark on the World!</b></p><p>
Are you interested in joining some of the brightest talent in the world to strengthen the United States&rsquo; security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.</p><p>
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact</p>
<h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p>We have an opening for a<b> Metal Casting Scientist/Engineer</b> to perform a full range of moderate to complex tasks in the area of metal casting research. You will be an integral member of an interdisciplinary team responsible for conducting and supporting research in actinide sciences, material science, process development, and validation of complex simulations.</p><p>
This position is in the Advanced Materials Process Science group of the Materials Science Division. The selected candidate will support the Casting and Shaping Technologies group within Superblock.</p><p>
This position will be filled at either the SES.1 or SES.2 level, depending on qualifications. Additional job responsibilities (outlined below) will be assigned if you are selected at the higher level.</p><ul><li>
Support the research, development and documentation of metal casting process procedures.</li><li>
Investigate and document causes of casting defects such as porosity, shrinkage, inclusions, and misruns, and recommend corrective actions.</li><li>
Serve as a technical contact on metal casting and foundry technologies.</li><li>
Convey capabilities to programmatic stakeholders and external sponsors.</li><li>
Conduct experiments in an inert atmosphere glovebox.</li><li>
Handle hazardous, flammable, and radiological materials.</li><li>
Document experimental design and observations in written and electronic notebooks.</li><li>
Develop and present written analyses and verbal briefings that capture and communicate research results as well as periodic progress reports.</li><li>
Perform other duties as assigned.</li></ul><p><b>
Additional Duties at SES.2 Level</b></p><ul><li>
Perform simulations of casting processes using ProCast, Flow-3D, ANSYS or similar simulation packages.</li><li>
Perform laboratory work with minimal supervision.</li><li>
Present results at external conferences, seminars and/or technical meetings.</li></ul>
<h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.</li><li>
BS in Materials Science, Materials Engineering, Metallurgy or a related field, or the equivalent combination of education and related experience.</li><li>
Knowledge of metal casting technologies.</li><li>
Ability to lift 20 lbs regularly.</li><li>
Ability to perform work in a respirator and coveralls.</li><li>
Ability to work independently, as well as a member of a team.</li><li>
Sufficient verbal and written communication skills necessary to deliver presentations and prepare written reports, explain technical information, and provide advice to management.</li><li>
The interpersonal skills necessary to interact with a diverse set of scientists, engineers, and other technical and administrative staff within a collaborative research environment.</li></ul><p><b>
Additional qualifications at the SES.2 level</b></p><ul><li>
Master&rsquo;s (MS) degree in Materials Science, Materials Engineering, Metallurgy or a related field, or the equivalent combination of education and related experience.</li><li>
Hands on experience with casting metals in a VIM (Vacuum Induction Melting) furnace.</li><li>
Knowledge of software packages for the simulation of metal casting.</li></ul><p><b>
Pay Range</b></p><p>
$121,830 - $154,500 Annually for the SES.1 level<br>
$146,340 - $185,544 Annually for the SES.2 level</p><p>
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.</p>
<h3 class="jobSectionHeader"><b>Additional Information</b></h3>
<p>All your information will be kept confidential according to EEO guidelines.</p><div></div><p><b>
Position Information</b></p><p>
This is a Flexible Term appointment, which is for a definite period not to exceed six years. If final candidate is a Career Indefinite employee, Career Indefinite status may be maintained (should funding allow).</p>
<p><b>
Why Lawrence Livermore National Laboratory?</b></p><ul><li>
Included in 2026 Best Places to Work by Glassdoor!</li><li>
Flexible Benefits Package</li><li>
401(k)</li><li>
Relocation Assistance</li><li>
Education Reimbursement Program</li><li>
Flexible schedules (*depending on project needs)</li><li>
Our values - visit https://www.llnl.gov/inclusion/our-values</li></ul>
<p><b>
Security Clearance</b></p><p>
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.</p>
<p><b>
Pre-Employment Drug Test</b></p><p>
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p>
<p><b>
Wireless and Medical Devices</b></p><p>
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.</p><p>
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.</p>
<p><b>
How to identify fake job advertisements</b></p><p>
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under &ldquo;Find Your Job&rdquo; of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.</p><p>
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</p>
<p><b>
Equal Employment Opportunity</b></p><p>
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.</p><p><b>
Reasonable Accommodation</b></p><p>
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.</p>
<p><b>
California Privacy Notice</b></p><p>
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.</p></div><div></div>

Metal Casting Scientist/Engineer

Amazon Lab126

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 You will be working with a unique and gifted team developing exciting products for consumers. The team is a multidisciplinary group of engineers and scientists engaged in a fast paced mission to deliver new products. The team faces a challenging task of balancing cost, schedule, and performance requirements. You should be comfortable collaborating in a fast-paced and often uncertain environment, and contributing to innovative solutions, while demonstrating leadership, technical competence, and meticulousness.
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 Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques.
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 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end thermal design for SoC and consumer electronics, spanning package, board, system architecture, and product integration
  </li>
  <li>
   Perform advanced CFD simulations using tools such as Star-CCM+ or FloEFD to assess feasibility, risks, and mitigation strategies
  </li>
  <li>
   Plan and execute thermal validation for devices and SoC packages, ensuring compliance with safety, reliability, and qualification requirements
  </li>
  <li>
   Partner with cross-functional and cross-site teams to influence product decisions, define thermal limits, and establish temperature thresholds
  </li>
  <li>
   Develop data processing, statistical analysis, and test automation frameworks to improve insight quality, scalability, and engineering efficiency
  </li>
  <li>
   Communicate thermal risks, trade-offs, and mitigation strategies clearly to engineering leadership to support schedule, performance, and product decisions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced innovative devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
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 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in mechanical engineering or equivalent
  </li>
  <li>
   5+ years of hands-on experience in thermal design and validation for consumer electronics and/or SoC-based products
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
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  <br/>
 </strong>
 <ul>
  <li>
   PhD in Mechanical Engineering or equivalent
  </li>
  <li>
   Hands-on experience on writing code for data processing, statistical analysis and data visualization
  </li>
  <li>
   Experience with CAD tools such as Creo or SolidWorks for thermal design and integration
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - ADCI - BLR 14 SEZ
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 Job ID: A3168840
</div>


Sr. Thermal Scientist / Engineer, Hardware - Product Integrity

Brillio LLC

<div><h1 class="jobSectionHeader"><b>Senior Data Scientist - R01560980</b></h1>
<p></p><div><b>Senior Data Scientist</b></div><h6 class="jobSectionHeader"><b>
Primary Skills</b></h6><ul><li>
Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
</li></ul><h6 class="jobSectionHeader"><b>Specialization</b></h6><ul><li>
Data Science Advanced: AI/ML Engineer
</li></ul><h6 class="jobSectionHeader"><b>Job requirements</b></h6><ul><li>
Senior Data Scientist-Classic ML</li></ul></div><p></p>

Senior Data Scientist – R01560980

Career Development Center COMSATS University Islamabad-Islamabad Campus

<div>
 Tajir is a fast-growing B2B commerce startup transforming Pakistan&rsquo;s retail industry through technology. We build scalable software systems that power thousands of retailers, enabling them to procure inventory seamlessly and operate more efficiently.
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 Tajir is backed by leading global investors including Kleiner Perkins and Y Combinator, and we are focused on building a strong engineering and data team to solve real-world problems at scale.
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 <strong>
  We Are Currently Hiring
  <br/>
  <br/>
 </strong>
 Software Engineer (Fresh Graduates &amp; Experienced)
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 Software Engineer Intern (3rd Year Students)
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 Data Scientist (Fresh Graduates &amp; Experienced)
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 Data Scientist Intern (3rd Year Students)
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 Apply at
 <strong>
  https://jobs.ashbyhq.com/tajir
 </strong>
 <strong>
  .
 </strong>
</div>


Tajir | Software & Data Roles

Larsen & Toubro

<div>
 <strong>
  Engineer Shall Be Responsible For
  <br/>
  <br/>
 </strong>
 Carry out the engineering tasks as per engineering schedule as directed by lead engineer.
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 Provide the feedback on the engineering progress to LE for his review and further planning.
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 Adherence to L&amp;T Howden standards, input on client&rsquo;s requirements, work instruction and other
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 procedure by LE/EM
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 Perform 3D modelling and create 2D design drawings, compiling Bill of materials, drawing
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 modification, design change, SAP requirements and all other associated drawing functions as
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 instructed by the LE or EM
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 Perform design calculation required for detail engineering. Prepare of specification and customer
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 documents.
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 Perform manual creation which includes instructions for erection, commissioning, operation, and
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 maintenance of LTH equipment&rsquo;s. Also compiling sub-supplier manuals as instructed by the LE or
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 <br/>
 EM
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 Conduct product tests and generate report, as directed by EM
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 Review the calculations, detail drawings, customer documents and sub-contract vendor documents,
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 along with LE
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 Representing from Engineering for meeting/technical discussion with customers and other LTH
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 functional department, as discussed by LE/EM.
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 Assess repair work scopes and compile retrofit procedures with approval of LE/EM to keep efficient
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 aftermarket work.
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 Assist LE in decision making for manufacturing non-conformance and rectification process.
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 Ensure all the engineering input and output are routed through DC
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 Assist LE in manufacturing process, site erection and carry out troubleshooting exercises if required
</div>


Engineer

Biogen

<div><p><b>Scientist, Machine Learning, Molecular Design
</b></p><p></p><p><b>About This Role
</b></p><p></p><p>The Computational Molecular Science team at Biogen is searching for a scientist interested in machine learning applications and transformative artificial intelligence algorithms to accelerate and improve the established small molecule design cycle that consists of idea generation, evaluation, and synthesis. This is a unique opportunity to join a cross-functional team working at the intersection of computational, chemical, and biological sciences and have direct access to a wealth of structured and unstructured data across the Biogen research organization to make a massive impact on redefining the early drug-discovery platform.
</p><p></p><p><b>What You&rsquo;ll Do
</b></p><p></p><ul><li>Build and deploy ML-driven molecular design workflows that combine deep generative models and deep reinforcement learning to propose and prioritize small molecules under multi-parameter objectives (potency, ADMET, novelty, synthesizability).
</li>Develop and maintain predictive models and molecular representations (e.g., GNNs/Transformers, 2D/3D features) and integrate them into iterative &ldquo;generate score<li> learn&rdquo; design loops.
</li><li>Collaborate with Computational Chemistry and cross-functional Drug Discovery teams to translate project needs into robust, reproducible tools and deliver measurable impact on small-molecule programs.
</li><li>Publish and present methodological and applied work internally and externally.
</li></ul><p></p><p>The successful candidate will be a creative and highly motivated scientist with demonstrated expertise in the field of machine learning and cheminformatics. You will be expected to stay current with the scientific literature and apply the latest advances in computational methods to address drug discovery challenges. As a key contributor to the molecule informatics group, thinking independently to solve complex problems is an important aspect of this position.
</p><p></p><p><b>Required Skills
</b></p><p></p><ul><li>Ph.D. in Computer Science (or related field) with strong fundamentals in machine learning, deep learning, and optimization.
</li><li>1+ years of postdoctoral experience with demonstrated ability to lead research projects independently and deliver high-quality results.
</li><li>Proven ability to work effectively in a multidisciplinary environment.
</li><li>Strong track record of publications and/or scientific presentations demonstrating impact and scientific rigor.
</li><li>Excellent oral and written communication skills, including the ability to explain technical work to both technical and non-technical audiences.
</li></ul><p></p><p><b>Preferred Skills
</b></p><ul><li>Strong hands-on experience developing and training deep learning models end-to-end (data pipelines, model design, training loops, debugging, and evaluation) using PyTorch or TensorFlow.
</li><li>Proven experience with modern deep generative models for molecular design (e.g., Transformer, GAN; diffusion/graph models are a plus)
</li><li>Experience applying deep reinforcement learning and/or multi-objective optimization to molecular generation and prioritization (e.g., reward design, constraint handling, Pareto trade-offs).
</li><li>Solid understanding of deep learning best practices (regularization, hyperparameter tuning, representation learning, uncertainty estimation, and generalization under data shift).
</li>Strong Python skills and practical experience with the ML ecosystem; cheminformatics experience is a plus.<br>
<li>
</li></ul><p></p><br>
Job Level: Professional<br>
<p><br>
<b>Additional Information
</b></p><p></p>The base compensation range for this role is: $117,000.00-$152,000.00<br>
<div><p><br>
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills &amp; experience, job location, and internal equity.
</p><p></p><p>Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
</p><p></p><p>In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees&rsquo; and their families <i>physical, financial, emotional, </i>and <i>social well-being </i>; including, but not limited to:
</p><ul><li>Medical, Dental, Vision, &amp; Life insurances
</li><li>Fitness &amp; Wellness programs including a fitness reimbursement
</li><li>Short- and Long-Term Disability insurance
</li><li>A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
</li><li>Up to 12 company paid holidays + 3 paid days off for Personal Significance
</li><li>80 hours of sick time per calendar year
</li><li>Paid Maternity and Parental Leave benefit
</li><li>401(k) program participation with company matched contributions
</li><li>Employee stock purchase plan
</li><li>Tuition reimbursement of up to $10,000 per calendar year
</li><li>Employee Resource Groups participation
</li></ul></div><p></p><div><p><b>Why Biogen?
</b></p><p>We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
</p><p></p><p>At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&amp;I efforts.
</p><p></p><p>All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.</p></div></div>

Scientist, Machine Learning, Molecular Design

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