Location: Cambridge, MA
Company: Capital One
and innovative Computer-Aided Drug Discovery (CADD) team in Cambridge, where we bring together diverse talents to redefine the way NIBR discovery teams validate and develop new targets. We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist like you to join our ranks.
Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the world's most renowned medical companies. We need your expertise, experience, and unwavering passion to help us extract this wealth of information. Collaborating with a multidisciplinary group of scientists, you will be at the
forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you ready to seize this extraordinary chance to make a significant impact in the field of drug discovery?
We invite you to embark on this thrilling journey with us, as we push the boundaries of what's possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. Your Responsibilities Include: Lead
the design of medicinal chemistry efforts by applying in-depth knowledge of structure-activity relationships (SAR), a profound understanding of target biology, and predictive methods for backssing on- and off-target activity, physical properties, pharmacokinetics/pharmacodynamics (PK/PD), and synthetic feasibility.
Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives.
Collaborate with interdisciplinary project teams to facilitate effective decision-making throughout the target identification to candidate nomination process. This involves applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Foster hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Take a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation.
These studies will inform the strategic targeting strategies of discovery projects, aiming for optimal mechanisms of action (Mo As). EEO Statement The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, interactionual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Role Requirements What You'll Bring to the Role: Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience, are also encouraged to apply.
5+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design, leading to significant impact on discovery projects. Familiarity with drug design tools and high-performance computing environments and strong publication history in peer-reviewed journals. Skills and Abilities: Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation.
Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights. Why Consider Novartis?236 million lives were touched by Novartis medicines in 2022, and while we're proud of this, we know there is so much more we could do to help improve and extend people's lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation.
That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world's toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do at Novartis! Commitment to Diversity & Inclusion: Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
The pay range for this position at commencement of employment is expected to be between $174,400 and $261,600 per year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered.
Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an " at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical
data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with
large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.
Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.
Digitalents Graduate Program - Computational Scientist At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe. Why Digitalents? Digitalents is a two-year program that gives you the opportunity to complete different assignments while working with professionals from all over the world. You'll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career.
From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success. About the role: We are seeking a motivated scientist to join our team working on Spatial Omics, RNASeq and digital Biomarker datasets, and Machine Learning applied to the analysis of biomedical data. The ideal candidate should have a background and interest in data science, artificial intelligence, bioinformatics, biomedical engineering, or computational biology.
As a computational Scientist, you will have the opportunity to work on two assignments based in two separate locations: first year in Cambridge (USA) and the second year in Frankfurt (Germany). Main responsibilities as Computational Scientist: Perform biomedical image analysis Conduct genomics data analysis Conduct single cell RNASeq analysis Develop scalable analysis pipelines Implement machine learning models for solving biomedical problems Collaborate with other team members on various research projects Work with large-scale datasets and employ machine learning techniques to solve complex problems About you : Strong knowledge of Python Familiarity with R is a plus Solid statistical and mathematical knowledge Understanding of methods in bioinformatics/computational biology Excellent analytical and problem-solving skills Ability to work independently as well as in a team environment Strong written and verbal communication skills Advanced English level Prior experience with biomedical data analysis is a plus but not required Molecular biology knowledge is a plus but not required Please mind that o nly applications submitted in English will be considered.
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations. Target start date: May 2024 Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, interaction, national origin, interactionual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at ! #digitalents At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all. PDN-9aede302-642e-4693-98eb-e7f6c6013615
DUTIES Lead molecular diagnostic assay development in a hands-on manner through successful FDA submission Manage and contribute to regulatory documents Project management; personnel management skills preferred Design assay performance specifications Ensure assay development process meets milestones and timelines Troubleshoot and solve technical issues Maintain compliant laboratory documents and procedures Pro-actively improve efficiency, quality and effectiveness of R & D efforts QUALIFICATIONS Ph D in Nucleic Acids Biochemistry, Molecular Biology, or related field Minimum of 7 years of relevant industry experience and IVD assay development In depth knowledge and hands on experience with q PCR,
sequencing and standard molecular biology techniques Demonstrated technical, managerial and leadership expertise in assay development Strong understanding of FDA and global regulatory requirements Demonstrated experience and understanding of quality systems (e.
g. GLP, ISO, etc. ) Prefer experience working in BSL-2 laboratory facilities Strong work ethic and ability to generate high quality work under tight deadlines Flexibility in work schedule Self-motivated, independent and a driving force of efficient execution Strong organizational and project management skills Excellent oral and written communication skills Job Posted by Applicant Pro
We are seeking a highly motivated and collaborative scientist to join our immunology team to profile our therapeutics modalities and their interactions with tumor cells and the immune system. Your key responsibilities are, but not limited to: • Develop and independently execute immunological, cellular and biochemical assays needed to backss and optimize CAR-T cells and immune cell engager functionality • Conducting ex vivo cell-based assays using T cells and other primary cells from human peripheral blood and tissues to study functional interactions between CAR-T or immune cell engagers, tumor and immune cells• Critically analyze and interpret data, able to prioritize experiments and design follow-up
experiments • Work collaboratively with team members of the Mechanistic Immunology groups and with other collaborators at BRC, Oncology and Discovery Science departments • Regularly communicate and present results to lab head and project teams, prepare protocols and reports • Open mindset, ability and eagerness to learn novel techniques or analysis tools based on project needs• Maintain familiarity with scientific and technical literature pertinent to the projects Role Requirements Essential Requirements: • BSc or MSc in Life Science disciplines, preferably immunology or cell biology/biochemistry with at least 2 years research experience in human immunology, cell biology or biochemistry in industry
or academia or recent Ph.
D. graduate in immunology or cancer cell biology fields.
• Solid knowledge and interest in human immunology and cell biology/biochemistry. • Experience with primary cell culture, human T cell or other immune cells including phenotyping and multicellular functional assays and protein biochemistry • Demonstrated ability to develop new assays, critically analyze data, learn and combine new techniques and concepts quickly, design experiments and perform exploratory activities • Scientific curiosity, initiative, commitment, flexibility and good organization and presentation skills • Work independently and as a team member with open communication with the groups and collaborators Desirable Requirements: • Experience in virology or cell and gene therapy is a plus but not mandatory.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? /about/strategy/people-and-culture Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: /careers/benefits-rewards Commitment to Diversity & Inclusion: The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment.
We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, interactionual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Novartis Compensation and Benefit Summary: The pay range for this position at commencement of employment is expected to be between $102,400 and $153,600/year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities.
The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an " at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: talentnetwork. /network EEO Statement We are Equal Opportunity Employers and take pride in maintaining a diverse environment.
We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, interactionual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please let us know the nature of your request, your contact information and the job requisition number in your message: Novartis: e-mail xyz X@ or call -xyz X Sandoz: e-mail xyz X@ or call: -xyz X
