Full-Time

AI Researcher

AI-Oriented Knowledge Systems

Updated on 5/26/2026

GenScript

GenScript

1,001-5,000 employees

Global CRO and biologics CDMO services

Compensation Overview

$85k - $145k/yr

Middlesex, NJ, USA

In Person

Category
AI & Machine Learning (1)
Required Skills
LLM
NLTK
Python
Apache Spark
RAG
SpaCy
Requirements
  • Master’s degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
  • 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, Retrieval-Augmented Generation, or question-answering systems
  • Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred
  • Proficient in Python with expertise in data processing and large-scale text processing techniques
  • Familiar with mainstream natural language processing frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
  • Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
  • Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)
  • Deep understanding of core natural language processing technologies: entity recognition, relation extraction, text classification, semantic similarity
  • Familiar with the full lifecycle of knowledge graph construction and application
  • Proficient in Retrieval-Augmented Generation technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
  • Prior experience in vertical domain knowledge system construction and knowledge-driven large language model application deployment (e.g., healthcare, legal, finance, technology) preferred
  • Familiar with multi-modal knowledge processing (text + image + table + structured data)
  • Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
  • Experience in data governance such as data cleaning, deduplication, and standardization preferred
  • Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)
  • Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
  • Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
  • Experimental design and evaluation capabilities, able to design proper comparative and ablation studies
  • Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments
  • Excellent communication and collaboration skills, able to work efficiently with engineering and product teams
  • Systems thinking ability to approach knowledge system design from an overall architecture perspective
Responsibilities
  • Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
  • Design automated pipelines for entity recognition, relation extraction, and event detection
  • Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
  • Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs
  • Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion
  • Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
  • Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces
  • Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
  • Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge
  • Research knowledge version management and provenance mechanisms to ensure knowledge traceability
  • Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
  • Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches
  • Develop retrieval re-ranking algorithms to enhance Top-K result relevance
  • Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
  • Explore retrieval feedback learning to continuously optimize retrieval strategies based on user behavior
  • Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning
  • Develop Complex QA systems supporting multi-condition and multi-step question answering
  • Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches
  • Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization
  • Research knowledge gap detection and active learning mechanisms to identify coverage blind spots in the knowledge base
  • Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates
  • Research knowledge conflict detection and resolution strategies for handling contradictory information fusion
  • Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics
  • Explore human-feedback-driven knowledge iteration mechanisms
  • Research knowledge compression and summarization techniques to optimize storage efficiency and retrieval performance

GenScript Biotech Corporation is a global CRO and biologics CDMO. It provides services and products for life sciences, including custom gene synthesis, peptide synthesis, protein expression/purification, antibody development, and CRISPR, and it supports cell and gene therapy through its ProBio CDMO, Bestzyme enzymes, and Legend Biotech platforms. The company differentiates itself by operating across four platforms that cover research services, end-to-end therapy development, industrial enzymes, and integrated cell therapy, with a global customer base and notable collaborations such as Legend Biotech’s CAR-T program with Janssen. Its goal is to help customers accelerate drug discovery and biopharmaceutical development, scale manufacturing, and bring cell- and gene-therapy products to market.

Company Size

1,001-5,000

Company Stage

IPO

Headquarters

Piscataway Township, New Jersey

Founded

2002

Simplify Jobs

Simplify's Take

What believers are saying

  • TurboCHO launched in 2026 accelerates antibody production to five business days.
  • Latent-X2 validation ties GenScript into AI-first drug discovery workflows and recurring testing demand.
  • AlGenome expands distribution across UAE, KSA, and Jordan, improving regional access.

What critics are saying

  • AI-native discovery platforms compress GenScript's wet-lab validation pricing within 12 months.
  • Ex vivo CAR-T manufacturing relevance erodes as in vivo and non-viral approaches scale.
  • Academic and biotech spending cuts hit GenScript's massive early-stage customer base quickly.

What makes GenScript unique

  • GenScript sells foundational gene, peptide, protein, CRISPR, and antibody workflows globally.
  • ProBio extends GenScript into end-to-end biologics CDMO services for cell and gene therapies.
  • Legend Biotech gives GenScript direct exposure to CAR-T commercialization through CARVYKTI.

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Benefits

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Short Term Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Time Off

Paid Company Holidays

Paid Sick Days

Compassionate Leave

Jury Duty Leave

Float day

Personal days

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
PR Newswire
Apr 9th, 2026
GenScript and Mimulus partner to industrialise DNA-based data storage for AI era

GenScript Biotech Corporation and Mimulus Corp have announced a strategic collaboration to industrialise DNA-based data storage, targeting breakthrough cost efficiencies by 2030. The partnership aims to address limitations of existing archival storage systems as AI-driven data creation accelerates. GenScript will scale high-throughput DNA synthesis from millions to billions of oligonucleotides synthesised in parallel on a single chip. The company currently produces 8 million oligonucleotides per chip and brings capabilities across synthesis, sequencing technologies and platform development. Combined with Mimulus' Molecular Archive Technology, the collaboration seeks to create commercially viable molecular storage infrastructure requiring no electricity once data is encoded into DNA. The technology can store massive data volumes for centuries in a credit-card-sized device, potentially freeing power resources for AI supercomputers.

AD HOC NEWS Portal Aktiengesellschaft
Apr 2nd, 2026
Twist Bioscience Corp stock: pioneering DNA synthesis for biotech innovation and investor opportunities.

Twist Bioscience Corp stock: pioneering DNA synthesis for biotech innovation and investor opportunities. 02.04.2026 - 03:21:18 | ad-hoc-news.de Twist Bioscience Corp (ISIN: US90130A1016) leads in synthetic DNA manufacturing, enabling breakthroughs in therapeutics, agriculture, and data storage. North American investors eye its scalable platform amid growing demand for custom DNA tools. Explore business model, market position, and key watchpoints. Twist Bioscience Corp stands at the forefront of synthetic biology, offering high-throughput DNA synthesis that powers drug discovery, next-generation sequencing, and industrial biotech applications. Listed on Nasdaq under ticker TWST, its shares trade in USD, with ISIN US90130A1016 representing common stock. Investors focus on its proprietary platform's ability to disrupt traditional phosphoramidite-based synthesis methods. As of: 02.04.2026 By Elena Harper, Senior Biotech Analyst at NorthStar Market Insights: Twist Bioscience Corp exemplifies how silicon chip manufacturing principles revolutionize biological tool production in the synthetic biology sector. Core business model and technology platform. Official source All current information on Twist Bioscience Corp directly from the company's official website. Twist Bioscience Corp develops and manufactures synthetic DNA using a semiconductor-inspired process. The company prints DNA on silicon chips, achieving densities up to 10,000 times higher than conventional methods. This platform supports gene synthesis, next-generation sequencing (NGS) library prep, and antibody optimization. Key products include Twist Gene Fragments for research, Twist Expression Vectors for protein production, and Twist NGS Target Enrichment for clinical diagnostics. The scalable manufacturing reduces costs and turnaround times, addressing bottlenecks in biotech workflows. Revenue streams diversify across biopharma, academic labs, and agrotech firms. Founded in 2013, Twist went public in 2018. Its South San Francisco headquarters anchors operations, with expansion into global markets. The model emphasizes high-volume, low-cost production to capture share in a market projected to grow significantly. Market position and competitive landscape. Sentiment and reactions Twist competes with IDT (Integrated DNA Technologies), GenScript, and Eurofins Genomics in DNA synthesis. Its chip-based approach provides superior throughput and error rates below 1 in 100,000 bases. Partnerships with Illumina and Tempus bolster NGS market penetration. In biopharma, Twist's antibody libraries screen millions of variants rapidly. Agriculture clients use its tools for crop gene editing. Data storage applications explore DNA as an archival medium, with prototypes demonstrating petabyte-scale potential. Market share grows as demand for synthetic biology tools surges. North American biotech hubs like Boston and San Francisco drive adoption. Twist's IP portfolio, including process patents, fortifies barriers to entry. Sector drivers and growth catalysts. Synthetic biology benefits from advances in CRISPR, mRNA therapeutics, and personalized medicine. Regulatory approvals for gene therapies accelerate demand for custom DNA. Global health initiatives post-pandemic emphasize rapid response platforms. Twist's platform aligns with these trends, enabling faster iteration in drug development pipelines. Expansion into NGS consumables taps a recurring revenue model. Industrial biotech for sustainable materials represents a long-term opportunity. North American investors note sector tailwinds from NIH funding and VC inflows into biotech. Supply chain resilience favors U.S.-based manufacturers like Twist. Capacity expansions signal confidence in sustained demand. Relevance for north American investors. For U.S. and Canadian investors, Twist Bioscience Corp offers exposure to synthetic biology without picking individual winners in volatile end-markets. Its Nasdaq listing ensures liquidity and transparency via SEC filings. Dividend-free, growth-oriented profile suits long-term portfolios. Proximity to biotech clusters facilitates collaborations. Tax advantages for U.S. holders apply to capital gains. ESG factors highlight sustainable manufacturing versus chemical-intensive rivals. Portfolio diversification benefits from biotech weighting. Twist complements holdings in sequencing (e.g., Illumina) or CRISPR (e.g., Editas). Watch quarterly revenue breakdowns for biopharma versus NGS balance. Further developments, updates, and context on the stock can be explored quickly through the linked overview pages. Risks and open questions. Competition intensifies as rivals scale. Technology risks include yield variability at high volumes. Dependence on biopharma cycles exposes revenue to R&D budget fluctuations. Regulatory hurdles in gene editing applications loom. Supply chain issues for reagents persist. Intellectual property challenges could arise from broad biotech patents. Open questions center on profitability timelines and market share gains. Investors monitor gross margins and cash burn rates. Geopolitical tensions may impact global expansion. What to watch next. Key catalysts include new partnership announcements and capacity utilization updates. Quarterly earnings will reveal end-market traction. Product launches in data storage merit attention. North American investors should track Nasdaq performance, sector ETFs, and peer comparisons. SEC filings provide deepest insights. Balanced exposure mitigates single-stock risks. Disclaimer: Not investment advice. Stocks are volatile financial instruments. NIS2-Richtlinie 2026: Was Geschäftsführer jetzt über Cyber-Sicherheit wissen müssen. Gratis-Leitfaden: Die neuen EU-Vorgaben zur IT-Sicherheit betreffen mehr Unternehmen als erwartet - bei Verstößen drohen persönliche Haftung und empfindliche Bußgelder. Das kostenlose E-Book "Cyber Security Awareness Trends" erklärt, welche Maßnahmen Pflicht sind und wie Sie Ihr Unternehmen mit minimalem Aufwand compliant machen. Seit 2005 liefert der Börsenbrief trading-notes verlässliche Anlage-Empfehlungen - dreimal pro Woche, direkt ins Postfach. 100% kostenlos. 100% Expertenwissen. Trage einfach deine E-Mail Adresse ein und verpasse ab heute keine Top-Chance mehr. Jetzt abonnieren. Für. Immer. Kostenlos. US90130A1016 | TWIST BIOSCIENCE CORP | boerse | 69052150 | bgmi

Yahoo Finance
Feb 3rd, 2026
GenScript Biotech shares fall 23% over 90 days despite 51% intrinsic discount to fair value

Genscript Biotech shares rose 1.38% to HK$12.45, though the stock has fallen 23.43% over the past 90 days and posted a 51.18% loss over three years. The one-year total shareholder return stands at 16.36%. The Hong Kong-listed biotech company is trading at a 51.84% discount to its indicated intrinsic value, with analysts pointing to a fair value near HK$23.52. Genscript is expanding capacity in biologics and cell therapy through automation investments and global facilities in the US, Singapore and Europe. The company aims to capitalise on growing demand for biologics and gene therapy whilst diversifying revenue beyond China. However, rising global competition and increased research spending could challenge the growth narrative supporting the valuation gap.

The AI Journal Ltd
Jan 29th, 2026
GenScript Biotech Global Forum, "Scripting Possibilities", Convened AI and Biopharma Leaders in San Francisco

GenScript Biotech Global Forum, "Scripting Possibilities", convened AI and biopharma leaders in San Francisco. PISCATAWAY, N.J., Jan. 29, 2026 /PRNewswire/ - GenScript Biotech Corporation, a global leader in life sciences R&D and manufacturing services, successfully concluded the 2026 GenScript Biotech Global Forum on January 14 in San Francisco during the annual J.P. Morgan Healthcare Conference. Held under the theme "Scripting Possibilities - The Future of Therapeutic Innovation," the Forum convened close to 1,000 international attendees. The Forum explored how artificial intelligence is reshaping discovery and what it will take to scale innovation responsibly and reliably. "The conversations throughout the day reinforced that biotechnology is indeed at an inflection point, but they also sharpened what that means in practice," said Ray Chen, PhD, President of GenScript Life Science Group. "What emerged clearly is that speed, precision, and collaboration only create impact when they are embedded into real workflows, real laboratories, and real operating models. We're proud of the role this forum played in bringing together leaders who are not just imagining what's next but actively shaping how innovation will scale and endure. The discussions at this year's Biotech Global Forum helped set a pragmatic, forward-looking agenda for how biopharma will translate possibility into progress throughout 2026 and beyond." Aylin Kosova Bilgin, Chief Marketing and Corporate Communications Officer of GenScript, officially opened the forum by reinforcing GenScript's Scripting Possibilities vision and the industry's shift from AI experimentation to real-world execution. She encouraged attendees to keep asking "What if?" as the catalyst for breakthroughs that can be built, scaled, and trusted. Fireside Chat: Scripting Possibilities for AI in Healthcare and Protein Engineering Following Ms. Bilgin's opening remarks, a fireside chat featuring Nobel Laureate David Baker, PhD, and Eric Horvitz, MD, PhD, Chief Scientific Officer of Microsoft, examined how AI is reshaping the front end of biological discovery, particularly in protein design. * While AI is accelerating hypothesis generation and helping scientists focus more quickly on the most viable protein designs, durable impact will depend on rigorous experimental validation, access to high-quality data, and a deep understanding of biological complexity. * How computational protein design is expanding what's possible beyond naturally occurring templates, enabling increasingly customized proteins with a growing range of potential applications. * Progress depends on rapidly converting AI-designed concepts into DNA and proteins for experimental validation - powering the design-to-validation loop that sustains iterative discovery. Scripting Possibilities on the Next Frontier: Cell Therapy The Forum's cell therapy panel explored how the field is advancing beyond early approvals, with increased focus on patient experience, durability, and real-world feasibility. Panelists from DeciBio, AstraZeneca, Legend Biotech, and Stylus Medicine emphasized execution priorities (manufacturability, consistency, turnaround time, and scalable delivery) as the space evolves. * A comparison of ex vivo therapies with the promise of in vivo engineering, including safety, delivery (viral and non-viral), and regulatory considerations that will shape adoption. * Durability and payload needs vary by indication, and panelists discussed next-gen progress across biology, delivery, and access including advancing approaches for challenging settings like solid tumors. * The continued shift of CAR-T into outpatient/community care, cost reduction through automation, and the importance of faster regulatory pathways. * The discussion reinforced that the next phase of cell therapy will be defined not by novelty alone, but by the ability to deliver scalable, durable therapies that work in real-world care settings. Scripting Possibilities to Enable AI in Drug Discovery Leaders from NVIDIA, Absci, Jefferies, and Amazon discussed the shift from AI experimentation to enterprise-scale adoption, emphasizing that value will come from embedding AI into end-to-end discovery workflows rather than isolated pilots. Anthony Costa, PhD, Director of Digital Biology at NVIDIA, noted that effective AI strategies depend on clearly defining the task at hand and selecting the appropriate approach for each stage of discovery. * The importance of connecting computational insight directly to laboratory execution, where models inform experiments and results feed back into the system. * How tighter integration between AI outputs and real-world lab workflows can help translate AI promise into repeatable, scalable discovery impact. * Panelists agreed that AI will only scale when it becomes part of the discovery workflow itself, rather than an external or experimental layer. Scripting Possibilities to Secure Biotech's Future: AI, Trust & the New Global Reality The final panel, consisting of experts from Sidley Austin, Treehill Partners, Capgemini, and Mike Walker Consulting, examined how trust, governance, and geopolitical awareness are becoming foundational to scaling AI in biopharma. Thorsten Alexander Rall of Capgemini cautioned that "proofs of concept don't scale," underscoring the need to move beyond experimentation toward enterprise-ready operating models. * Governance and compliance should be viewed as enablers rather than constraints, particularly as regulatory scrutiny and cross-border considerations increasingly shape how organizations manage risk, protect intellectual property, and sustain innovation. * AI will not scale without trust, and governance and global awareness must be designed in from the outset to enable responsible, durable adoption. "This year's theme, Scripting Possibilities, reflected a shared recognition across the industry that AI's impact in biopharma will be defined not by ambition alone, but by how intentionally innovation is designed, tested, and scaled," said Ms. Bilgin. "I was energized by the depth and openness of the conversations, which showed a clear readiness to turn insight into execution for the scientists, innovators, and organizations advancing discovery today and in the future. For me, 'possibilities' are not abstract. They are engineered, coded, tested, and delivered by people pushing boundaries every day. These discussions captured where the industry is today and set the direction for how GenScript, together with the broader biopharma community, will support discovery, development, and impact in the years ahead." Explore key insights from the GenScript Biotech Global Forum and watch select sessions on demand at the GenScript Biotech Global Forum page. About GenScript Biotech Corporation Founded in 2002 in New Jersey, GenScript Biotech Corporation accelerates innovation in biotech and healthcare by providing researchers and companies with the building blocks needed to develop groundbreaking treatments and products. Guided by its mission to Make People and Nature Healthier Through Biotechnology, GenScript supports customers across the full innovation lifecycle - from early discovery and automation-driven research to advanced biologics and manufacturing - including through its ProBio business. GenScript has a team of over 5,700 employees and has served more than 200,000 customers across over 100 countries and regions.

PR Newswire
Jan 28th, 2026
GenScript partners with Latent Labs as wet-lab validator for AI drug discovery model Latent-X2

GenScript Biotech Corporation has announced its role as wet-lab partner for Latent Labs' Latent-X2, a next-generation AI model that designs antibodies and peptides with drug-like properties. GenScript provides high-throughput expression, purification and functional testing of AI-generated molecules, enabling rapid iteration between computational predictions and biological performance. Using its TurboCHO™ High Throughput Platform and cell-free expression systems, GenScript screens AI-designed antibodies, minibinders and peptides to compare candidates and collect data on developability and binding. This reduces reliance on iterative wet-lab optimisation. The collaboration addresses a key industry challenge by accelerating timelines whilst improving likelihood of clinical success. Founded in 2002, GenScript supports over 200,000 customers across 100-plus countries with a team of 5,500-plus employees.